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Found 5 papers, 1 papers with code
Exploring the Robustness of Human Parsers Towards Common Corruptions
The experimental results show that the proposed method demonstrates good universality which can improve the robustness of the human parsing models and even the semantic segmentation models when facing various image common corruptions.
Frequency Perception Network for Camouflaged Object Detection
Camouflaged object detection (COD) aims to accurately detect objects hidden in the surrounding environment.
AIParsing: Anchor-free Instance-level Human Parsing
Most state-of-the-art instance-level human parsing models adopt two-stage anchor-based detectors and, therefore, cannot avoid the heuristic anchor box design and the lack of analysis on a pixel level.
Progressive Contour Regression for Arbitrary-Shape Scene Text Detection
In the second stage, the contours of the oriented text proposals are iteratively regressed to arbitrarily shaped ones.
Nested Network with Two-Stream Pyramid for Salient Object Detection in Optical Remote Sensing Images
Arising from the various object types and scales, diverse imaging orientations, and cluttered backgrounds in optical remote sensing image (RSI), it is difficult to directly extend the success of salient object detection for nature scene image to the optical RSI.
