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20152026
most citedFreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

140 citations · 820 across the 54 of their papers we have counts for

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Showing 2022 · cs.CVShow all

6 papers · 2 filters

cs.CV2022★ 4 cited

Enhanced Training of Query-Based Object Detection via Selective Query Recollection

Fangyi Chen, Han Zhang, Kai Hu +3

This paper investigates a phenomenon where query-based object detectors mispredict at the last decoding stage while predicting correctly at an intermediate stage. We review the tra…

cs.CV2022★ 4 cited

An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning

Hao Chen, Yue Fan, Yidong Wang +5

Semi-supervised learning (SSL) has shown great promise in leveraging unlabeled data to improve model performance. While standard SSL assumes uniform data distribution, we consider…

cs.CV2022★ 6 cited

Vec2Face-v2: Unveil Human Faces from their Blackbox Features via Attention-based Network in Face Recognition

Thanh-Dat Truong, Chi Nhan Duong, Ngan Le +2

In this work, we investigate the problem of face reconstruction given a facial feature representation extracted from a blackbox face recognition engine. Indeed, it is a very challe…

cs.CV2022★ 18 cited

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets

Hao Chen, Ran Tao, Han Zhang +6

While parameter efficient tuning (PET) methods have shown great potential with transformer architecture on Natural Language Processing (NLP) tasks, their effectiveness with large-s…

cs.CV2022

Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling

Ran Tao, Han Zhang, Yutong Zheng +1

In recent works, utilizing a deep network trained on meta-training set serves as a strong baseline in few-shot learning. In this paper, we move forward to refine novel-class featur…

cs.CV2022★ 1 cited

Unitail: Detecting, Reading, and Matching in Retail Scene

Fangyi Chen, Han Zhang, Zaiwang Li +7

To make full use of computer vision technology in stores, it is required to consider the actual needs that fit the characteristics of the retail scene. Pursuing this goal, we intro…