Open-vocabulary camouflaged object segmentation
Recently, the emergence of the large-scale vision-language model (VLM), such as CLIP,
has opened the way towards open-world object perception. Many works have explored the …
has opened the way towards open-world object perception. Many works have explored the …
[PDF][PDF] Maskfactory: Towards high-quality synthetic data generation for dichotomous image segmentation
Abstract Dichotomous Image Segmentation (DIS) tasks require highly precise annotations,
and traditional dataset creation methods are labor intensive, costly, and require extensive …
and traditional dataset creation methods are labor intensive, costly, and require extensive …
High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity
In the realm of high-resolution (HR), fine-grained image segmentation, the primary
challenge is balancing broad contextual awareness with the precision required for detailed …
challenge is balancing broad contextual awareness with the precision required for detailed …
Evaluation Study on SAM 2 for Class-agnostic Instance-level Segmentation
Segment Anything Model (SAM) has demonstrated powerful zero-shot segmentation
performance in natural scenes. The recently released Segment Anything Model 2 (SAM2) …
performance in natural scenes. The recently released Segment Anything Model 2 (SAM2) …
C2Net: Road Extraction via Context Perception and Cross Spatial-Scale Feature Interaction
Road extraction from remote sensing images (RSIs) holds significant application value in
various aspects of daily scenarios. However, it is still challenging to extract high-quality road …
various aspects of daily scenarios. However, it is still challenging to extract high-quality road …
GVANet: A Grouped Multi-View Aggregation Network for Remote Sensing Image Segmentation
Y Yang, J Li, Z Chen, L Ren - IEEE Journal of Selected Topics …, 2024 - ieeexplore.ieee.org
In remote sensing image segmentation tasks, various challenges arise, including difficulties
in recognizing objects due to differences in perspective, difficulty in distinguishing objects …
in recognizing objects due to differences in perspective, difficulty in distinguishing objects …
BEN: Using Confidence-Guided Matting for Dichotomous Image Segmentation
M Meyer, J Spruyt - arxiv preprint arxiv:2501.06230, 2025 - arxiv.org
Current approaches to dichotomous image segmentation (DIS) treat image matting and
object segmentation as fundamentally different tasks. As improvements in image …
object segmentation as fundamentally different tasks. As improvements in image …