CVPR 2019

Detect-to-Retrieve: Efficient Regional Aggregation for Image Search

CVPR 2019 tensorflow/models

Then, we demonstrate how a trained landmark detector, using our new dataset, can be leveraged to index image regions and improve retrieval accuracy while being much more efficient than existing regional methods.

IMAGE RETRIEVAL

A Style-Based Generator Architecture for Generative Adversarial Networks

CVPR 2019 NVlabs/stylegan

We propose an alternative generator architecture for generative adversarial networks, borrowing from style transfer literature.

IMAGE GENERATION

Hybrid Task Cascade for Instance Segmentation

CVPR 2019 open-mmlab/mmdetection

In exploring a more effective approach, we find that the key to a successful instance segmentation cascade is to fully leverage the reciprocal relationship between detection and segmentation.

 SOTA for Object Detection on COCO (using extra training data)

INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION

Mask Scoring R-CNN

CVPR 2019 open-mmlab/mmdetection

In this paper, we study this problem and propose Mask Scoring R-CNN which contains a network block to learn the quality of the predicted instance masks.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

Region Proposal by Guided Anchoring

CVPR 2019 open-mmlab/mmdetection

State-of-the-art detectors mostly rely on a dense anchoring scheme, where anchors are sampled uniformly over the spatial domain with a predefined set of scales and aspect ratios.

OBJECT DETECTION

Libra R-CNN: Towards Balanced Learning for Object Detection

CVPR 2019 open-mmlab/mmdetection

In this work, we carefully revisit the standard training practice of detectors, and find that the detection performance is often limited by the imbalance during the training process, which generally consists in three levels - sample level, feature level, and objective level.

OBJECT DETECTION

Grid R-CNN

CVPR 2019 open-mmlab/mmdetection

This paper proposes a novel object detection framework named Grid R-CNN, which adopts a grid guided localization mechanism for accurate object detection.

#16 best model for Object Detection on COCO

OBJECT DETECTION OBJECT LOCALIZATION

Semantic Image Synthesis with Spatially-Adaptive Normalization

CVPR 2019 NVlabs/SPADE

We propose spatially-adaptive normalization, a simple but effective layer for synthesizing photorealistic images given an input semantic layout.

IMAGE-TO-IMAGE TRANSLATION

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

CVPR 2019 deepinsight/insightface

One of the main challenges in feature learning using Deep Convolutional Neural Networks (DCNNs) for large-scale face recognition is the design of appropriate loss functions that enhance discriminative power.

FACE IDENTIFICATION FACE RECOGNITION FACE VERIFICATION

Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation

CVPR 2019 extreme-assistant/cvpr2019

Vision-language navigation (VLN) is the task of navigating an embodied agent to carry out natural language instructions inside real 3D environments.

IMITATION LEARNING VISION-LANGUAGE NAVIGATION