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20202025
most citedFlorence: A New Foundation Model for Computer Vision

342 citations · 2k across the 44 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CV2022★ 1 cited

Generalized Decoding for Pixel, Image, and Language

Xueyan Zou, Zi-Yi Dou, Jianwei Yang +11

We present X-Decoder, a generalized decoding model that can predict pixel-level segmentation and language tokens seamlessly. X-Decodert takes as input two types of queries: (i) gen…

cs.CV2022★ 6 cited

Unified Contrastive Learning in Image-Text-Label Space

Jianwei Yang, Chunyuan Li, Pengchuan Zhang +4

Visual recognition is recently learned via either supervised learning on human-annotated image-label data or language-image contrastive learning with webly-crawled image-text pairs…

cs.CV2022★ 44 cited

K-LITE: Learning Transferable Visual Models with External Knowledge

Sheng Shen, Chunyuan Li, Xiaowei Hu +11

The new generation of state-of-the-art computer vision systems are trained from natural language supervision, ranging from simple object category names to descriptive captions. Thi…

cs.CV2022★ 64 cited

ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models

Chunyuan Li, Haotian Liu, Liunian Harold Li +8

Learning visual representations from natural language supervision has recently shown great promise in a number of pioneering works. In general, these language-augmented visual mode…

cs.CV2022★ 11 cited

Parameter-efficient Model Adaptation for Vision Transformers

Xuehai He, Chunyuan Li, Pengchuan Zhang +2

In computer vision, it has achieved great transfer learning performance via adapting large-scale pretrained vision models (e.g., vision transformers) to downstream tasks. Common ap…

cs.CV2022★ 149 cited

Focal Modulation Networks

Jianwei Yang, Chunyuan Li, Xiyang Dai +2

We propose focal modulation networks (FocalNets in short), where self-attention (SA) is completely replaced by a focal modulation mechanism for modeling token interactions in visio…