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Found 12 papers, 7 papers with code
ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection
Apart from the high intrinsic similarity between camouflaged objects and their background, objects are usually diverse in scale, fuzzy in appearance, and even severely occluded.
Ranked #1 on
Camouflaged Object Segmentation
on Camouflaged Animal Dataset
(using extra training data)
Collaborative Camouflaged Object Detection: A Large-Scale Dataset and Benchmark
In this paper, we provide a comprehensive study on a new task called collaborative camouflaged object detection (CoCOD), which aims to simultaneously detect camouflaged objects with the same properties from a group of relevant images.
A Unified Query-based Paradigm for Camouflaged Instance Segmentation
Due to the high similarity between camouflaged instances and the background, the recently proposed camouflaged instance segmentation (CIS) faces challenges in accurate localization and instance segmentation.
Diffusion Model for Camouflaged Object Detection
Due to the powerful noise-to-image denoising capability of denoising diffusion models, in this paper, we propose a diffusion-based framework for camouflaged object detection, termed diffCOD, a new framework that considers the camouflaged object segmentation task as a denoising diffusion process from noisy masks to object masks.
Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers
Vision transformers have recently shown strong global context modeling capabilities in camouflaged object detection.
Memory-aided Contrastive Consensus Learning for Co-salient Object Detection
To learn better group consensus, we propose the Group Consensus Aggregation Module (GCAM) to abstract the common features of each image group; meanwhile, to make the consensus representation more discriminative, we introduce the Memory-based Contrastive Module (MCM), which saves and updates the consensus of images from different groups in a queue of memories.
Trichomonas Vaginalis Segmentation in Microscope Images
Trichomoniasis is a common infectious disease with high incidence caused by the parasite Trichomonas vaginalis, increasing the risk of getting HIV in humans if left untreated.
Boundary-Guided Camouflaged Object Detection
Camouflaged object detection (COD), segmenting objects that are elegantly blended into their surroundings, is a valuable yet challenging task.
Scribble-based Boundary-aware Network for Weakly Supervised Salient Object Detection in Remote Sensing Images
To this end, in this paper, we propose a novel weakly-supervised salient object detection framework to predict the saliency of remote sensing images from sparse scribble annotations.
Mini-Unmanned Aerial Vehicle-Based Remote Sensing: Techniques, Applications, and Prospects
We hope this paper will provide remote-sensing researchers an overall picture of recent UAV-based remote sensing developments and help guide the further research on this topic.
Image Stitching by Line-guided Local Warping with Global Similarity Constraint
On one hand, the line features are integrated into a local warping model through a designed weight function.
Image stitching with perspective-preserving warping
Image stitching algorithms often adopt the global transformation, such as homography, and work well for planar scenes or parallax free camera motions.
