Weakly-supervised concealed object segmentation with sam-based pseudo labeling and multi-scale feature grouping
Abstract Weakly-Supervised Concealed Object Segmentation (WSCOS) aims to segment
objects well blended with surrounding environments using sparsely-annotated data for …
objects well blended with surrounding environments using sparsely-annotated data for …
Deep graph reprogramming
In this paper, we explore a novel model reusing task tailored for graph neural networks
(GNNs), termed as" deep graph reprogramming". We strive to reprogram a pre-trained GNN …
(GNNs), termed as" deep graph reprogramming". We strive to reprogram a pre-trained GNN …
Strategic preys make acute predators: Enhancing camouflaged object detectors by generating camouflaged objects
Camouflaged object detection (COD) is the challenging task of identifying camouflaged
objects visually blended into surroundings. Albeit achieving remarkable success, existing …
objects visually blended into surroundings. Albeit achieving remarkable success, existing …
Grounding 3d object affordance from 2d interactions in images
Grounding 3D object affordance seeks to locate objects'" action possibilities" regions in the
3D space, which serves as a link between perception and operation for embodied agents …
3D space, which serves as a link between perception and operation for embodied agents …
Background activation suppression for weakly supervised object localization and semantic segmentation
Weakly supervised object localization and semantic segmentation aim to localize objects
using only image-level labels. Recently, a new paradigm has emerged by generating a …
using only image-level labels. Recently, a new paradigm has emerged by generating a …
Grounded affordance from exocentric view
Affordance grounding aims to locate objects'“action possibilities” regions, an essential step
toward embodied intelligence. Due to the diversity of interactive affordance, ie, the …
toward embodied intelligence. Due to the diversity of interactive affordance, ie, the …
Evaluation and improvement of interpretability for self-explainable part-prototype networks
Part-prototype networks (eg, ProtoPNet, ProtoTree, and ProtoPool) have attracted broad
research interest for their intrinsic interpretability and comparable accuracy to non …
research interest for their intrinsic interpretability and comparable accuracy to non …
Mambapupil: Bidirectional selective recurrent model for event-based eye tracking
Event-based eye tracking has shown great promise with the high temporal resolution and
low redundancy provided by the event camera. However the diversity and abruptness of eye …
low redundancy provided by the event camera. However the diversity and abruptness of eye …
Spatial-aware token for weakly supervised object localization
Weakly supervised object localization (WSOL) is a challenging task aiming to localize
objects with only image-level supervision. Recent works apply visual transformer to WSOL …
objects with only image-level supervision. Recent works apply visual transformer to WSOL …
Learning visual affordance grounding from demonstration videos
Visual affordance grounding aims to segment all possible interaction regions between
people and objects from an image/video, which benefits many applications, such as robot …
people and objects from an image/video, which benefits many applications, such as robot …