We evaluate the Res2Net block on all these models and demonstrate consistent performance gains over baseline models on widely-used datasets, e. g., CIFAR-100 and ImageNet.
Ranked #4 on
RGB Salient Object Detection
on ECSSD
IMAGE CLASSIFICATION INSTANCE SEGMENTATION RGB SALIENT OBJECT DETECTION SALIENT OBJECT DETECTION
In this paper, we design a simple yet powerful deep network architecture, U$^2$-Net, for salient object detection (SOD).
Ranked #1 on
Salient Object Detection
on PASCAL-S
IMAGE CLASSIFICATION RGB SALIENT OBJECT DETECTION SALIENCY DETECTION SALIENT OBJECT DETECTION
In this paper, we propose a predict-refine architecture, BASNet, and a new hybrid loss for Boundary-Aware Salient object detection.
Ranked #1 on
Salient Object Detection
on DUTS-TE
CAMOUFLAGED OBJECT SEGMENTATION RGB SALIENT OBJECT DETECTION SALIENCY PREDICTION SALIENT OBJECT DETECTION SSIM
We further design a feature aggregation module (FAM) to make the coarse-level semantic information well fused with the fine-level features from the top-down pathway.
Ranked #1 on
RGB Salient Object Detection
on PASCAL-S
As an essential problem in computer vision, salient object detection (SOD) has attracted an increasing amount of research attention over the years.
RGB SALIENT OBJECT DETECTION SALIENCY PREDICTION SALIENT OBJECT DETECTION
In the second step, we integrate the local edge information and global location information to obtain the salient edge features.
Ranked #2 on
Camouflaged Object Segmentation
on COD
CAMOUFLAGED OBJECT SEGMENTATION CO-SALIENT OBJECT DETECTION SALIENT OBJECT DETECTION
In this paper, we propose a novel Cascaded Partial Decoder (CPD) framework for fast and accurate salient object detection.
Ranked #1 on
RGB Salient Object Detection
on ISTD
CAMOUFLAGED OBJECT SEGMENTATION RGB SALIENT OBJECT DETECTION SALIENT OBJECT DETECTION
This is the first work that explicitly emphasizes the challenge of saliency shift, i. e., the video salient object(s) may dynamically change.
Ranked #1 on
Video Salient Object Detection
on FBMS-59
(using extra training data)
Salient object detection models often demand a considerable amount of computation cost to make precise prediction for each pixel, making them hardly applicable on low-power devices.
To obtain more efficient multi-scale features from the integrated features, the self-interaction modules are embedded in each decoder unit.