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20212026
most citedSeqTR: A Simple yet Universal Network for Visual Grounding

147 citations · 283 across the 36 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CV2023★ 2 cited

Aligning and Prompting Everything All at Once for Universal Visual Perception

Yunhang Shen, Chaoyou Fu, Peixian Chen +6

Vision foundation models have been explored recently to build general-purpose vision systems. However, predominant paradigms, driven by casting instance-level tasks as an object-wo…

cs.CV2023★ 1 cited

Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity

Xudong Li, Timin Gao, Runze Hu +9

The current state-of-the-art No-Reference Image Quality Assessment (NR-IQA) methods typically rely on feature extraction from upstream semantic backbone networks, assuming that all…

cs.CV2023★ 1 cited

CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes

Yulei Qin, Xingyu Chen, Yunhang Shen +5

Webly supervised learning has attracted increasing attention for its effectiveness in exploring publicly accessible data at scale without manual annotation. However, most existing…

cs.CV2023★ 93 cited

Woodpecker: Hallucination Correction for Multimodal Large Language Models

Shukang Yin, Chaoyou Fu, Sirui Zhao +7

Hallucination is a big shadow hanging over the rapidly evolving Multimodal Large Language Models (MLLMs), referring to the phenomenon that the generated text is inconsistent with t…

cs.CV2023★ 1 cited

Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler

Shaohui Lin, Wenxuan Huang, Jiao Xie +5

Filter pruning simultaneously accelerates the computation and reduces the memory overhead of CNNs, which can be effectively applied to edge devices and cloud services. In this pape…

cs.CV2023

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Chaoyou Fu, Peixian Chen, Yunhang Shen +11

Multimodal Large Language Model (MLLM) relies on the powerful LLM to perform multimodal tasks, showing amazing emergent abilities in recent studies, such as writing poems based on…

cs.CV2023

Active Teacher for Semi-Supervised Object Detection

Peng Mi, Jianghang Lin, Yiyi Zhou +7

In this paper, we study teacher-student learning from the perspective of data initialization and propose a novel algorithm called Active Teacher(Source code are available at: \url{…