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From the 1 of 21 linked papers with an AI index.

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20242026
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21 papers

cs.CV2026

GFR-SAM: Training-Free Referring Camouflaged Object Segmentation via Cross-Image Prompting

Yilong Yang, Jianxin Tian, Shengchuan Zhang +1

The paper introduces GFR‑SAM, a training‑free three‑stage framework that uses cross‑image prompting with SAM3 to segment camouflaged objects referenced by cues, employing exemplar‑…

cs.CV2026

PAR3D: A Unified 3D-MLLM with Part-Aware Representation for Scene Understanding

Shaohui Dai, Yansong Qu, You Shen +2

Recent advances in 3D multimodal large language models (3D-MLLMs) have enabled unified solutions for 3D scene understanding tasks, including visual question answering, captioning,…

cs.CV2026

Active-SAOOD: Active Sparsely Annotated Oriented Object Detection in Remote Sensing Images

Yu Lin, Jianghang Lin, Kai Ye +2

Reducing the annotation cost of oriented object detection in remote sensing remains a major challenge. Recently, sparse annotation has gained attention for effectively reducing ann…

cs.CV2026

Discover, Segment, and Select: A Progressive Mechanism for Zero-shot Camouflaged Object Segmentation

Yilong Yang, Jianxin Tian, Shengchuan Zhang +1

Current zero-shot Camouflaged Object Segmentation methods typically employ a two-stage pipeline (discover-then-segment): using MLLMs to obtain visual prompts, followed by SAM segme…

cs.CV2025

FlashWorld: High-quality 3D Scene Generation within Seconds

Xinyang Li, Tengfei Wang, Zixiao Gu +3

We propose FlashWorld, a generative model that produces 3D scenes from a single image or text prompt in seconds, 10~100 faster than previous works while possessing superior…

cs.CV2025

SCOUT: Semi-supervised Camouflaged Object Detection by Utilizing Text and Adaptive Data Selection

Weiqi Yan, Lvhai Chen, Shengchuan Zhang +2

The difficulty of pixel-level annotation has significantly hindered the development of the Camouflaged Object Detection (COD) field. To save on annotation costs, previous works lev…