SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation

21 Jan 2020sunjesse/shape-attentive-unet

Despite the progress of deep learning in medical image segmentation, standard CNNs are still not fully adopted in clinical settings as they lack robustness and interpretability.

MEDICAL IMAGE SEGMENTATION SEMANTIC SEGMENTATION

0
21 Jan 2020

Fast Sequence-Based Embedding with Diffusion Graphs

21 Jan 2020benedekrozemberczki/karateclub

A graph embedding is a representation of graph vertices in a low-dimensional space, which approximately preserves properties such as distances between nodes.

COMMUNITY DETECTION GRAPH EMBEDDING NETWORK EMBEDDING

249
21 Jan 2020

Evaluating Weakly Supervised Object Localization Methods Right

21 Jan 2020clovaai/wsolevaluation

In this paper, we argue that WSOL task is ill-posed with only image-level labels, and propose a new evaluation protocol where full supervision is limited to only a small held-out set not overlapping with the test set.

FEW-SHOT LEARNING MODEL SELECTION WEAKLY-SUPERVISED OBJECT LOCALIZATION

27
21 Jan 2020

batchboost: regularization for stabilizing training with resistance to underfitting & overfitting

21 Jan 2020maciejczyzewski/batchboost

Pairing stage calculates the error per sample, sorts the samples and pairs with strategy: hardest with easiest one, than mixing stage merges two samples using mixup, $x_1 + (1-\lambda)x_2$.

1
21 Jan 2020

Correcting Knowledge Base Assertions

19 Jan 2020ChenJiaoyan/KG_Curation

The usefulness and usability of knowledge bases (KBs) is often limited by quality issues.

1
19 Jan 2020

Human-Aware Motion Deblurring

ICCV 2019 joanshen0508/HA_deblur

This paper proposes a human-aware deblurring model that disentangles the motion blur between foreground (FG) humans and background (BG).

DEBLURRING

34
19 Jan 2020

See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks

CVPR 2019 carrierlxk/COSNet

We introduce a novel network, called CO-attention Siamese Network (COSNet), to address the unsupervised video object segmentation task from a holistic view.

SEMANTIC SEGMENTATION UNSUPERVISED VIDEO OBJECT SEGMENTATION VIDEO SEMANTIC SEGMENTATION

133
19 Jan 2020

Learning Compositional Neural Information Fusion for Human Parsing

ICCV 2019 ZzzjzzZ/CompositionalHumanParsing

The bottom-up and top-down inferences explicitly model the compositional and decompositional relations in human bodies, respectively.

HUMAN PARSING

37
19 Jan 2020

Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks

ICCV 2019 carrierlxk/AGNN

Through parametric message passing, AGNN is able to efficiently capture and mine much richer and higher-order relations between video frames, thus enabling a more complete understanding of video content and more accurate foreground estimation.

SEMANTIC SEGMENTATION VIDEO OBJECT SEGMENTATION VIDEO SEMANTIC SEGMENTATION

76
19 Jan 2020

Temporal Interlacing Network

17 Jan 2020deepcs233/TIN

In this way, a heavy temporal model is replaced by a simple interlacing operator.

OPTICAL FLOW ESTIMATION VIDEO UNDERSTANDING

9
17 Jan 2020