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09/13/2023
Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics
Multi-modal large language models (MLLMs) are trained based on large lan...
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04/27/2023
Incremental Generalized Category Discovery
We explore the problem of Incremental Generalized Category Discovery (IG...
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04/17/2023
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
Enhancing the robustness of vision algorithms in real-world scenarios is...
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11/17/2022
One Venue, Two Conferences: The Separation of Chinese and American Citation Networks
At NeurIPS, American and Chinese institutions cite papers from each othe...
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08/03/2022
XCon: Learning with Experts for Fine-grained Category Discovery
We address the problem of generalized category discovery (GCD) in this p...
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05/30/2022
Self-Supervised Visual Representation Learning with Semantic Grouping
In this paper, we tackle the problem of learning visual representations ...
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11/29/2021
ROBIN : A Benchmark for Robustness to Individual Nuisances in Real-World Out-of-Distribution Shifts
Enhancing the robustness in real-world scenarios has been proven very ch...
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08/06/2021
Improving Contrastive Learning by Visualizing Feature Transformation
Contrastive learning, which aims at minimizing the distance between posi...
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07/07/2021
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation
In this paper, we tackle the problem of novel visual category discovery,...
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06/28/2021
Rail-5k: a Real-World Dataset for Rail Surface Defects Detection
This paper presents the Rail-5k dataset for benchmarking the performance...
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06/06/2021
Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization
Visual pattern recognition over agricultural areas is an important appli...
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08/04/2020
Temporal Context Aggregation for Video Retrieval with Contrastive Learning
The current research focus on Content-Based Video Retrieval requires hig...
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08/01/2020
Distilling Visual Priors from Self-Supervised Learning
Convolutional Neural Networks (CNNs) are prone to overfit small training...
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04/21/2020
