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07/17/2023
Pair then Relation: Pair-Net for Panoptic Scene Graph Generation
Panoptic Scene Graph (PSG) is a challenging task in Scene Graph Generati...
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06/26/2023
FunQA: Towards Surprising Video Comprehension
Surprising videos, e.g., funny clips, creative performances, or visual i...
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06/15/2023
OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection
Out-of-Distribution (OOD) detection is critical for the reliable operati...
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06/08/2023
MIMIC-IT: Multi-Modal In-Context Instruction Tuning
High-quality instructions and responses are essential for the zero-shot ...
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05/05/2023
Otter: A Multi-Modal Model with In-Context Instruction Tuning
Large language models (LLMs) have demonstrated significant universal cap...
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10/13/2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
Out-of-distribution (OOD) detection is vital to safety-critical machine ...
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09/15/2022
On-Device Domain Generalization
We present a systematic study of domain generalization (DG) for tiny neu...
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07/22/2022
Panoptic Scene Graph Generation
Existing research addresses scene graph generation (SGG) – a critical te...
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06/08/2022
Sparse Fusion Mixture-of-Experts are Domain Generalizable Learners
Domain generalization (DG) aims at learning generalizable models under d...
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04/11/2022
Full-Spectrum Out-of-Distribution Detection
Existing out-of-distribution (OOD) detection literature clearly defines ...
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03/10/2022
Conditional Prompt Learning for Vision-Language Models
With the rise of powerful pre-trained vision-language models like CLIP, ...
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10/21/2021
Generalized Out-of-Distribution Detection: A Survey
Out-of-distribution (OOD) detection is critical to ensuring the reliabil...
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09/02/2021
Learning to Prompt for Vision-Language Models
Vision-language pre-training has recently emerged as a promising alterna...
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08/26/2021
Semantically Coherent Out-of-Distribution Detection
Current out-of-distribution (OOD) detection benchmarks are commonly buil...
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08/13/2021
Progressive Representative Labeling for Deep Semi-Supervised Learning
Deep semi-supervised learning (SSL) has experienced significant attentio...
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02/20/2021
GIST: Distributed Training for Large-Scale Graph Convolutional Networks
The graph convolutional network (GCN) is a go-to solution for machine le...
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10/12/2020
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph
Webly supervised learning becomes attractive recently for its efficiency...
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08/27/2020
Webly Supervised Image Classification with Self-Contained Confidence
This paper focuses on webly supervised learning (WSL), where datasets ar...
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11/29/2016
