ICCV 2019

Searching for MobileNetV3

ICCV 2019 tensorflow/models

We achieve new state of the art results for mobile classification, detection and segmentation.

IMAGE CLASSIFICATION NEURAL ARCHITECTURE SEARCH OBJECT DETECTION SEMANTIC SEGMENTATION

A Learned Representation for Scalable Vector Graphics

ICCV 2019 tensorflow/magenta

Dramatic advances in generative models have resulted in near photographic quality for artificially rendered faces, animals and other objects in the natural world.

An Empirical Study of Spatial Attention Mechanisms in Deep Networks

ICCV 2019 open-mmlab/mmdetection

Attention mechanisms have become a popular component in deep neural networks, yet there has been little examination of how different influencing factors and methods for computing attention from these factors affect performance.

Scale-Aware Trident Networks for Object Detection

ICCV 2019 facebookresearch/detectron2

In this work, we first present a controlled experiment to investigate the effect of receptive fields for scale variation in object detection.

OBJECT DETECTION

TensorMask: A Foundation for Dense Object Segmentation

ICCV 2019 facebookresearch/detectron2

To formalize this, we treat dense instance segmentation as a prediction task over 4D tensors and present a general framework called TensorMask that explicitly captures this geometry and enables novel operators on 4D tensors.

INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION

Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras

ICCV 2019 google-research/google-research

We present a novel method for simultaneous learning of depth, egomotion, object motion, and camera intrinsics from monocular videos, using only consistency across neighboring video frames as supervision signal.

DEPTH ESTIMATION

Rethinking ImageNet Pre-training

ICCV 2019 tensorpack/tensorpack

We report competitive results on object detection and instance segmentation on the COCO dataset using standard models trained from random initialization.

INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION

SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color

ICCV 2019 run-youngjoo/SC-FEGAN

We present a novel image editing system that generates images as the user provides free-form mask, sketch and color as an input.

FACIAL INPAINTING

YOLACT: Real-time Instance Segmentation

ICCV 2019 dbolya/yolact

Then we produce instance masks by linearly combining the prototypes with the mask coefficients.

REAL-TIME INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

AutoFocus: Efficient Multi-Scale Inference

ICCV 2019 MahyarNajibi/SNIPER

Instead of processing an entire image pyramid, AutoFocus adopts a coarse to fine approach and only processes regions which are likely to contain small objects at finer scales.