194 citations · 203 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 8 cited
Class Balance Matters to Active Class-Incremental Learning
Zitong Huang, Ze Chen, Yuanze Li +6
Few-Shot Class-Incremental Learning has shown remarkable efficacy in efficient learning new concepts with limited annotations. Nevertheless, the heuristic few-shot annotations may…
cs.CV2022★ 1 cited
W2N:Switching From Weak Supervision to Noisy Supervision for Object Detection
Zitong Huang, Yiping Bao, Bowen Dong +2
Weakly-supervised object detection (WSOD) aims to train an object detector only requiring the image-level annotations. Recently, some works have managed to select the accurate boxe…
cs.CV2015★ 194 cited
Naive-Deep Face Recognition: Touching the Limit of LFW Benchmark or Not?
Erjin Zhou, Zhimin Cao, Qi Yin
Face recognition performance improves rapidly with the recent deep learning technique developing and underlying large training dataset accumulating. In this paper, we report our ob…