most citedExpanding Language-Image Pretrained Models for General Video Recognition

16 citations · 17 across the 4 of their papers we have counts for

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cs.CV20241 cited

AddressCLIP: Empowering Vision-Language Models for City-wide Image Address Localization

Shixiong Xu, Chenghao Zhang, Lubin Fan +3

In this study, we introduce a new problem raised by social media and photojournalism, named Image Address Localization (IAL), which aims to predict the readable textual address whe…

cs.CV20242 cited

Correspondence-Free Non-Rigid Point Set Registration Using Unsupervised Clustering Analysis

Mingyang Zhao, Jingen Jiang, Lei Ma +3

This paper presents a novel non-rigid point set registration method that is inspired by unsupervised clustering analysis. Unlike previous approaches that treat the source and targe…

cs.CV2024

Reusable Architecture Growth for Continual Stereo Matching

Chenghao Zhang, Gaofeng Meng, Bin Fan +4

The remarkable performance of recent stereo depth estimation models benefits from the successful use of convolutional neural networks to regress dense disparity. Akin to most tasks…

cs.CV20241 cited

Enhancing Visual Continual Learning with Language-Guided Supervision

Bolin Ni, Hongbo Zhao, Chenghao Zhang +4

Continual learning (CL) aims to empower models to learn new tasks without forgetting previously acquired knowledge. Most prior works concentrate on the techniques of architectures,…

cs.CV2024

Defying Imbalanced Forgetting in Class Incremental Learning

Shixiong Xu, Gaofeng Meng, Xing Nie +3

We observe a high level of imbalance in the accuracy of different classes in the same old task for the first time. This intriguing phenomenon, discovered in replay-based Class Incr…

cs.CV202216 cited

Expanding Language-Image Pretrained Models for General Video Recognition

Bolin Ni, Houwen Peng, Minghao Chen +5

Contrastive language-image pretraining has shown great success in learning visual-textual joint representation from web-scale data, demonstrating remarkable "zero-shot" generalizat…