research
∙
01/03/2023
Cross Modal Transformer via Coordinates Encoding for 3D Object Dectection
In this paper, we propose a robust 3D detector, named Cross Modal Transf...
share
research
∙
06/02/2022
PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
In this paper, we propose PETRv2, a unified framework for 3D perception ...
research
∙
02/17/2022
cosFormer: Rethinking Softmax in Attention
Transformer has shown great successes in natural language processing, co...
research
∙
11/24/2021
One to Transfer All: A Universal Transfer Framework for Vision Foundation Model with Few Data
The foundation model is not the last chapter of the model production pip...
research
∙
11/05/2021
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark
Model quantization has emerged as an indispensable technique to accelera...
research
∙
10/11/2021
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
Recently, large-scale Contrastive Language-Image Pre-training (CLIP) has...
research
∙
08/16/2021
BN-NAS: Neural Architecture Search with Batch Normalization
We present BN-NAS, neural architecture search with Batch Normalization (...
research
∙
08/07/2021
PSViT: Better Vision Transformer via Token Pooling and Attention Sharing
In this paper, we observe two levels of redundancies when applying visio...
research
∙
07/29/2021
Geometry Uncertainty Projection Network for Monocular 3D Object Detection
Geometry Projection is a powerful depth estimation method in monocular 3...
research
∙
07/07/2021
GLiT: Neural Architecture Search for Global and Local Image Transformer
We introduce the first Neural Architecture Search (NAS) method to find a...
research
∙
06/21/2021
GAIA: A Transfer Learning System of Object Detection that Fits Your Needs
Transfer learning with pre-training on large-scale datasets has played a...
research
∙
05/28/2021
AutoSampling: Search for Effective Data Sampling Schedules
Data sampling acts as a pivotal role in training deep learning models. H...
research
∙
05/19/2021
Efficient Transfer Learning via Joint Adaptation of Network Architecture and Weight
Transfer learning can boost the performance on the targettask by leverag...
research
∙
03/24/2021
Temporal Context Aggregation Network for Temporal Action Proposal Refinement
Temporal action proposal generation aims to estimate temporal intervals ...
research
∙
03/18/2021
Real-Time Visual Object Tracking via Few-Shot Learning
Visual Object Tracking (VOT) can be seen as an extended task of Few-Shot...
research
∙
03/18/2021
Higher Performance Visual Tracking with Dual-Modal Localization
Visual Object Tracking (VOT) has synchronous needs for both robustness a...
research
∙
03/06/2021
Learning Statistical Texture for Semantic Segmentation
Existing semantic segmentation works mainly focus on learning the contex...
research
∙
03/02/2021
Inter-class Discrepancy Alignment for Face Recognition
The field of face recognition (FR) has witnessed great progress with the...
research
∙
12/25/2020
Inception Convolution with Efficient Dilation Search
Dilation convolution is a critical mutant of standard convolution neural...
research
∙
12/12/2020
DETR for Pedestrian Detection
Pedestrian detection in crowd scenes poses a challenging problem due to ...
research
∙
12/08/2020
Context-Aware Graph Convolution Network for Target Re-identification
Most existing re-identification methods focus on learning robust and dis...
research
∙
11/02/2020
PV-NAS: Practical Neural Architecture Search for Video Recognition
Recently, deep learning has been utilized to solve video recognition pro...
research
∙
10/27/2020
Your signature is your password: Haptic Passwords on Mobile Devices
In this paper, a new behavioral biometric password based on haptic inter...
research
∙
10/27/2020
Continuous Operator Authentication for Teleoperated Systems Using Hidden Markov Models
In this paper, we present a novel approach for continuous operator authe...
research
∙
10/21/2020
Adaptive Gradient Method with Resilience and Momentum
Several variants of stochastic gradient descent (SGD) have been proposed...
research
∙
10/09/2020
Once Quantized for All: Progressively Searching for Quantized Efficient Models
Automatic search of Quantized Neural Networks has attracted a lot of att...
research
∙
10/02/2020
Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks
One practice of employing deep neural networks is to apply the same arch...
research
∙
09/30/2020
Improving Auto-Augment via Augmentation-Wise Weight Sharing
The recent progress on automatically searching augmentation policies has...
research
∙
09/24/2020
MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection
Modern object detection methods can be divided into one-stage approaches...
research
∙
09/15/2020
Collaborative Distillation in the Parameter and Spectrum Domains for Video Action Recognition
Recent years have witnessed the significant progress of action recogniti...
research
∙
09/15/2020
BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation
Generating human action proposals in untrimmed videos is an important ye...
research
∙
08/19/2020
Learning Connectivity of Neural Networks from a Topological Perspective
Seeking effective neural networks is a critical and practical field in d...
research
∙
07/24/2020
CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations
As facial interaction systems are prevalently deployed, security and rel...
research
∙
07/20/2020
Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020
This technical report presents an overview of our solution used in the s...
research
∙
07/19/2020
Class-wise Dynamic Graph Convolution for Semantic Segmentation
Recent works have made great progress in semantic segmentation by exploi...
research
∙
05/21/2020
Powering One-shot Topological NAS with Stabilized Share-parameter Proxy
One-shot NAS method has attracted much interest from the research commun...
research
∙
05/18/2020
Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels
Training with more data has always been the most stable and effective wa...
research
∙
05/16/2020
COCAS: A Large-Scale Clothes Changing Person Dataset for Re-identification
Recent years have witnessed great progress in person re-identification (...
research
∙
05/07/2020
DMCP: Differentiable Markov Channel Pruning for Neural Networks
Recent works imply that the channel pruning can be regarded as searching...
research
∙
03/17/2020
1st Place Solutions for OpenImage2019 – Object Detection and Instance Segmentation
This article introduces the solutions of the two champion teams, `MMfrui...
research
∙
03/12/2020
Top-1 Solution of Multi-Moments in Time Challenge 2019
In this technical report, we briefly introduce the solutions of our team...
research
∙
03/11/2020
Equalization Loss for Long-Tailed Object Recognition
Object recognition techniques using convolutional neural networks (CNN) ...
research
∙
01/19/2020
Towards Stabilizing Batch Statistics in Backward Propagation of Batch Normalization
Batch Normalization (BN) is one of the most widely used techniques in De...
research
∙
01/14/2020
Cross-dataset Training for Class Increasing Object Detection
We present a conceptually simple, flexible and general framework for cro...
research
∙
12/29/2019
Towards Unified INT8 Training for Convolutional Neural Network
Recently low-bit (e.g., 8-bit) network quantization has been extensively...
research
∙
12/24/2019
Computation Reallocation for Object Detection
The allocation of computation resources in the backbone is a crucial iss...
research
∙
11/12/2019
Equalization Loss for Large Vocabulary Instance Segmentation
Recent object detection and instance segmentation tasks mainly focus on ...
research
∙
10/06/2019
Improving One-shot NAS by Suppressing the Posterior Fading
There is a growing interest in automated neural architecture search (NAS...
research
∙
09/12/2019
CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval
Text-image cross-modal retrieval is a challenging task in the field of l...
research
∙
09/05/2019
