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20212023
most citedBag of Tricks and A Strong baseline for Image Copy Detection

4 citations · 13 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CV20233 cited

Feature-compatible Progressive Learning for Video Copy Detection

Wenhao Wang, Yifan Sun, Yi Yang

Video Copy Detection (VCD) has been developed to identify instances of unauthorized or duplicated video content. This paper presents our second place solutions to the Meta AI Video…

cs.CV2023

DETR with Additional Global Aggregation for Cross-domain Weakly Supervised Object Detection

Zongheng Tang, Yifan Sun, Si Liu +1

This paper presents a DETR-based method for cross-domain weakly supervised object detection (CDWSOD), aiming at adapting the detector from source to target domain through weak supe…

cs.CV2022

VL: Leveraging Vision and Vision-language Models into Large-scale Product Retrieval

Wenhao Wang, Yifan Sun, Zongxin Yang +1

Product retrieval is of great importance in the ecommerce domain. This paper introduces our 1st-place solution in eBay eProduct Visual Search Challenge (FGVC9), which is featured f…

cs.CV20214 cited

Modality-Aware Triplet Hard Mining for Zero-shot Sketch-Based Image Retrieval

Zongheng Huang, YiFan Sun, Chuchu Han +2

This paper tackles the Zero-Shot Sketch-Based Image Retrieval (ZS-SBIR) problem from the viewpoint of cross-modality metric learning. This task has two characteristics: 1) the zero…

cs.CV20214 cited

Bag of Tricks and A Strong baseline for Image Copy Detection

Wenhao Wang, Weipu Zhang, Yifan Sun +1

Image copy detection is of great importance in real-life social media. In this paper, a bag of tricks and a strong baseline are proposed for image copy detection. Unsupervised pre-…

cs.CV20212 cited

DLV: A Data-Driven and Local-Verification Approach for Image Copy Detection

Wenhao Wang, Yifan Sun, Weipu Zhang +1

Image copy detection is of great importance in real-life social media. In this paper, a data-driven and local-verification (DLV) approach is proposed to compete for Image Simil…