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Object Detection

303 papers with code · Computer Vision

Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos.

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Latest papers with code

Distilling Object Detectors With Fine-Grained Feature Imitation

CVPR 2019 twangnh/Distilling-Object-Detectors

To address the challenge of distilling knowledge in detection model, we propose a fine-grained feature imitation method exploiting the cross-location discrepancy of feature response.

OBJECT DETECTION

3
01 Jun 2019

BASNet: Boundary-Aware Salient Object Detection

CVPR 2019 NathanUA/BASNet

In this paper, we propose a predict-refine architecture, BASNet, and a new hybrid loss for Boundary-Aware Salient object detection.

SALIENCY PREDICTION SALIENT OBJECT DETECTION

13
01 Jun 2019

IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition

CVPR 2019 xpwu95/IP102

The IP102 has a hierarchical taxonomy and the insect pests which mainly affect one specific agricultural product are grouped into the same upperlevel category.

FINE-GRAINED IMAGE CLASSIFICATION OBJECT DETECTION

3
01 Jun 2019

Searching for MobileNetV3

6 May 2019rwightman/genmobilenet-pytorch

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

ARCHITECTURE SEARCH OBJECT DETECTION SEMANTIC SEGMENTATION

13
06 May 2019

RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles

1 May 2019mrnabati/RRPN

Region proposal algorithms play an important role in most state-of-the-art two-stage object detection networks by hypothesizing object locations in the image.

AUTONOMOUS DRIVING OBJECT DETECTION SENSOR FUSION

9
01 May 2019

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

25 Apr 2019xvjiarui/GCNet

In this paper, we take advantage of this finding to create a simplified network based on a query-independent formulation, which maintains the accuracy of NLNet but with significantly less computation.

OBJECT DETECTION OBJECT RECOGNITION

459
25 Apr 2019

Attention Augmented Convolutional Networks

22 Apr 2019sebastiani/pytorch-attention-augmented-convolution

Convolutional networks have been the paradigm of choice in many computer vision applications.

IMAGE CLASSIFICATION OBJECT DETECTION

7
22 Apr 2019

Deep Hough Voting for 3D Object Detection in Point Clouds

21 Apr 2019qq456cvb/VoteNet

Current 3D object detection methods are heavily influenced by 2D detectors.

3D OBJECT DETECTION

37
21 Apr 2019

Data-Driven Neuron Allocation for Scale Aggregation Networks

CVPR 2019 lxtGH/OctaveConv_pytorch

The most informative output neurons in each block are preserved while others are discarded, and thus neurons for multiple scales are competitively and adaptively allocated.

OBJECT DETECTION

403
20 Apr 2019

Salient Object Detection in the Deep Learning Era: An In-Depth Survey

19 Apr 2019wenguanwang/SODsurvey

As an important problem in computer vision, salient object detection (SOD) from images has been attracting an increasing amount of research effort over the years.

SALIENCY PREDICTION SALIENT OBJECT DETECTION

208
19 Apr 2019