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10/17/2022
Distilling Object Detectors With Global Knowledge
Knowledge distillation learns a lightweight student model that mimics a ...
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07/14/2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network
Expandable networks have demonstrated their advantages in dealing with c...
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01/13/2022
Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are Better Continual Learners
In the SSLAD-Track 3B challenge on continual learning, we propose the me...
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10/21/2021
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning
Few-shot learning (FSL) aims to learn models that generalize to novel cl...
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05/13/2021
Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition
Text recognition is a popular topic for its broad applications. In this ...
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12/08/2020
MANGO: A Mask Attention Guided One-Stage Scene Text Spotter
Recently end-to-end scene text spotting has become a popular research to...
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05/27/2020
TRIE: End-to-End Text Reading and Information Extraction for Document Understanding
Since real-world ubiquitous documents (e.g., invoices, tickets, resumes ...
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05/27/2020
SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition
Arbitrary text appearance poses a great challenge in scene text recognit...
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02/26/2020
Refined Gate: A Simple and Effective Gating Mechanism for Recurrent Units
Recurrent neural network (RNN) has been widely studied in sequence learn...
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02/17/2020
Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting
Many approaches have recently been proposed to detect irregular scene te...
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08/07/2019
Adversarial Seeded Sequence Growing for Weakly-Supervised Temporal Action Localization
Temporal action localization is an important yet challenging research to...
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11/19/2018
Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection
This paper proposes a segregated temporal assembly recurrent (STAR) netw...
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09/07/2017
