Trending Research

Deformable DETR: Deformable Transformers for End-to-End Object Detection

ICLR 2021 fundamentalvision/Deformable-DETR

DETR has been recently proposed to eliminate the need for many hand-designed components in object detection while demonstrating good performance.

OBJECT DETECTION

249
3.08 stars / hour

deepmind-research

NeurIPS 2020 deepmind/deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

3,766
1.86 stars / hour

Is a Green Screen Really Necessary for Real-Time Portrait Matting?

24 Nov 2020ZHKKKe/MODNet

For portrait matting without the green screen, existing works either require auxiliary inputs that are costly to obtain or use multiple models that are computationally expensive.

IMAGE MATTING VIDEO MATTING

385
1.80 stars / hour

Navigating the GAN Parameter Space for Semantic Image Editing

27 Nov 2020yandex-research/navigan

In contrast to existing works, which mostly operate by latent codes, we discover interpretable directions in the space of the generator parameters.

IMAGE RESTORATION IMAGE-TO-IMAGE TRANSLATION

146
1.79 stars / hour

Fully Convolutional Networks for Panoptic Segmentation

1 Dec 2020yanwei-li/PanopticFCN

In this paper, we present a conceptually simple, strong, and efficient framework for panoptic segmentation, called Panoptic FCN.

PANOPTIC SEGMENTATION

48
1.66 stars / hour

U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection

18 May 2020NathanUA/U-2-Net

In this paper, we design a simple yet powerful deep network architecture, U$^2$-Net, for salient object detection (SOD).

IMAGE CLASSIFICATION RGB SALIENT OBJECT DETECTION SALIENCY DETECTION SALIENT OBJECT DETECTION

3,308
1.17 stars / hour

End-to-End Chinese Landscape Painting Creation Using Generative Adversarial Networks

11 Nov 2020alicex2020/Chinese-Landscape-Painting-Dataset

Current GAN-based art generation methods produce unoriginal artwork due to their dependence on conditional input.

CHINESE LANDSCAPE PAINTING GENERATION

140
0.95 stars / hour
148
0.93 stars / hour

Exploring Simple Siamese Representation Learning

20 Nov 2020sayakpaul/SimSiam-TF

Our experiments show that collapsing solutions do exist for the loss and structure, but a stop-gradient operation plays an essential role in preventing collapsing.

UNSUPERVISED REPRESENTATION LEARNING

72
0.77 stars / hour

Sparse R-CNN: End-to-End Object Detection with Learnable Proposals

25 Nov 2020PeizeSun/SparseR-CNN

In our method, however, a fixed sparse set of learned object proposals, total length of $N$, are provided to object recognition head to perform classification and location.

OBJECT DETECTION OBJECT RECOGNITION

587
0.68 stars / hour