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20232026
most citedEfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

15 citations · 16 across the 11 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024

Efficient Track Anything

Yunyang Xiong, Chong Zhou, Xiaoyu Xiang +10

Segment Anything Model 2 (SAM 2) has emerged as a powerful tool for video object segmentation and tracking anything. Key components of SAM 2 that drive the impressive video object…

cs.DC2024

Llama Guard 3-1B-INT4: Compact and Efficient Safeguard for Human-AI Conversations

Igor Fedorov, Kate Plawiak, Lemeng Wu +17

This paper presents Llama Guard 3-1B-INT4, a compact and efficient Llama Guard model, which has been open-sourced to the community during Meta Connect 2024. We demonstrate that Lla…

cs.CV2024

LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding

Xiaoqian Shen, Yunyang Xiong, Changsheng Zhao +14

Multimodal Large Language Models (MLLMs) have shown promising progress in understanding and analyzing video content. However, processing long videos remains a significant challenge…

cs.CV2024★ 1 cited

InverseMeetInsert: Robust Real Image Editing via Geometric Accumulation Inversion in Guided Diffusion Models

Yan Zheng, Lemeng Wu

In this paper, we introduce Geometry-Inverse-Meet-Pixel-Insert, short for GEO, an exceptionally versatile image editing technique designed to cater to customized user requirements…

cs.DC2024

Communication Efficient Distributed Training with Distributed Lion

Bo Liu, Lemeng Wu, Lizhang Chen +5

The Lion optimizer has been a promising competitor with the AdamW for training large AI models, with advantages on memory, computation, and sample efficiency. In this paper, we int…