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Found 8 papers, 4 papers with code
Gland segmentation via dual encoders and boundary-enhanced attention
Accurate and automated gland segmentation on pathological images can assist pathologists in diagnosing the malignancy of colorectal adenocarcinoma.
Towards an Accurate and Secure Detector against Adversarial Perturbations
It expands the above works on two aspects: 1) the introduced Krawtchouk basis provides better spatial-frequency discriminability and thereby is more suitable for capturing adversarial patterns than the common trigonometric or wavelet basis; 2) the extensive parameters for decomposition are generated by a pseudo-random function with secret keys, hence blocking the defense-aware adversarial attack.
Feature Channel Adaptive Enhancement for Fine-Grained Visual Classification
Fine-grained classification poses greater challenges compared to basic-level image classification due to the visually similar sub-species.
Ranked #2 on
Fine-Grained Image Recognition
on CUB Birds
A novel dataset and a two-stage mitosis nuclei detection method based on hybrid anchor branch
In the first stage, a detection network named M_det is proposed to detect as many mitoses as possible.
A Novel Dataset and a Deep Learning Method for Mitosis Nuclei Segmentation and Classification
In addition, the model also achieves good performance on GZMH dataset, which is prepared by our group and will be firstly released with the publication of this paper.
Binary Representation via Jointly Personalized Sparse Hashing
Different personalized subspaces are constructed to reflect category-specific attributes for different clusters, adaptively mapping instances within the same cluster to the same Hamming space.
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results.
Pairwise Linear Regression Classification for Image Set Retrieval
This paper proposes the pairwise linear regression classification (PLRC) for image set retrieval.
