6 papers
From Boundaries to Semantics: Prompt-Guided Multi-Task Learning for Petrographic Thin-section Segmentation
Yili Ren, Shiqi Wen, Li Hou +8
Grain-edge segmentation (GES) and lithology semantic segmentation (LSS) are two pivotal tasks for quantifying rock fabric and composition. However, these two tasks are often treate…
Tarot-SAM3: Training-free SAM3 for Any Referring Expression Segmentation
Weiming Zhang, Dingwen Xiao, Songyue Guo +5
Referring Expression Segmentation (RES) aims to segment image regions described by natural-language expressions, serving as a bridge between vision and language understanding. Exis…
PanoSAM2: Lightweight Distortion- and Memory-aware Adaptions of SAM2 for 360 Video Object Segmentation
Dingwen Xiao, Weiming Zhang, Shiqi Wen +1
360 video object segmentation (360VOS) aims to predict temporally-consistent masks in 360 videos, offering full-scene coverage, benefiting applications, such as VR/AR and embodied…
Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment
Weiming Zhang, Dingwen Xiao, Aobotao Dai +5
360 video captures the complete surrounding scenes with the ultra-large field of view of 360X180. This makes 360 scene understanding tasks, eg, segmentation and tracking, crucial f…
E-SAM: Training-Free Segment Every Entity Model
Weiming Zhang, Dingwen Xiao, Lei Chen +1
Entity Segmentation (ES) aims at identifying and segmenting distinct entities within an image without the need for predefined class labels. This characteristic makes ES well-suited…
When Data Manipulation Meets Attack Goals: An In-depth Survey of Attacks for VLMs
Aobotao Dai, Xinyu Ma, Lei Chen +2
Vision-Language Models (VLMs) have gained considerable prominence in recent years due to their remarkable capability to effectively integrate and process both textual and visual in…