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07/01/2023
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency
Extensive studies have shown that deep learning models are vulnerable to...
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10/11/2022
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning
Data in real-world object detection often exhibits the long-tailed distr...
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10/11/2022
The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition
Long-tail distribution is widely spread in real-world applications. Due ...
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09/23/2022
Towards Frame Rate Agnostic Multi-Object Tracking
Multi-Object Tracking (MOT) is one of the most fundamental computer visi...
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01/07/2022
Equalized Focal Loss for Dense Long-Tailed Object Detection
Despite the recent success of long-tailed object detection, almost all l...
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01/14/2020
Cross-dataset Training for Class Increasing Object Detection
We present a conceptually simple, flexible and general framework for cro...
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12/05/2019
