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Object Detection

491 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

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection

5 Dec 2019sfzhang15/ATSS

In this paper, we first point out that the essential difference between anchor-based and anchor-free detection is actually how to define positive and negative training samples, which leads to the performance gap between them.

OBJECT DETECTION

188
05 Dec 2019

One-Shot Object Detection with Co-Attention and Co-Excitation

NeurIPS 2019 timy90022/One-Shot-Object-Detection

This paper aims to tackle the challenging problem of one-shot object detection.

ONE-SHOT OBJECT DETECTION

58
01 Dec 2019

Memory-oriented Decoder for Light Field Salient Object Detection

NeurIPS 2019 OIPLab-DUT/MoLF

In this paper, we present a deep-learning-based method where a novel memory-oriented decoder is tailored for light field saliency detection.

SALIENCY DETECTION SALIENT OBJECT DETECTION

2
01 Dec 2019

Consistency-based Semi-supervised Learning for Object detection

NeurIPS 2019 soo89/CSD-SSD

Making a precise annotation in a large dataset is crucial to the performance of object detection.

OBJECT CLASSIFICATION OBJECT DETECTION

2
01 Dec 2019

muSSP: Efficient Min-cost Flow Algorithm for Multi-object Tracking

NeurIPS 2019 yu-lab-vt/muSSP

Min-cost flow has been a widely used paradigm for solving data association problems in multi-object tracking (MOT).

MULTI-OBJECT TRACKING OBJECT DETECTION

1
01 Dec 2019

CSPNet: A New Backbone that can Enhance Learning Capability of CNN

27 Nov 2019WongKinYiu/CrossStagePartialNetworks

Neural networks have enabled state-of-the-art approaches to achieve incredible results on computer vision tasks such as object detection.

OBJECT DETECTION

48
27 Nov 2019

F3Net: Fusion, Feedback and Focus for Salient Object Detection

26 Nov 2019weijun88/F3Net

Furthermore, different from binary cross entropy, the proposed PPA loss doesn't treat pixels equally, which can synthesize the local structure information of a pixel to guide the network to focus more on local details.

SALIENT OBJECT DETECTION

15
26 Nov 2019

Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction

22 Nov 2019anonymous0120/dr

Neural networks are known to be vulnerable to carefully crafted adversarial examples, and these malicious samples often transfer, i. e., they remain adversarial even against other models.

ADVERSARIAL ATTACK IMAGE CLASSIFICATION OBJECT DETECTION SEMANTIC SEGMENTATION

1
22 Nov 2019

Learning Spatial Fusion for Single-Shot Object Detection

21 Nov 2019ruinmessi/ASFF

Pyramidal feature representation is the common practice to address the challenge of scale variation in object detection.

OBJECT DETECTION

286
21 Nov 2019