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Dense Object Detection

5 papers with code ยท Computer Vision
Subtask of Object Detection

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Latest papers without code

AutoAssign: Differentiable Label Assignment for Dense Object Detection

7 Jul 2020

In this paper, we propose an anchor-free object detector with a fully differentiable label assignment strategy, named AutoAssign.

DENSE OBJECT DETECTION

Learning Gaussian Maps for Dense Object Detection

24 Apr 2020

We show the gain of 6\% and 5\% in mAP with respect to baseline RetinaNet.

DENSE OBJECT DETECTION MULTI-TASK LEARNING

LapNet : Automatic Balanced Loss and Optimal Assignment for Real-Time Dense Object Detection

4 Nov 2019

In this paper, we propose a new way to efficiently learn a single-shot detector which offers a very good compromise between these two objectives.

DENSE OBJECT DETECTION SEMANTIC SEGMENTATION

Focal Loss for Dense Object Detection

ICCV 2017

Our novel Focal Loss focuses training on a sparse set of hard examples and prevents the vast number of easy negatives from overwhelming the detector during training.

DENSE OBJECT DETECTION

Skin Cancer Detection and Tracking using Data Synthesis and Deep Learning

4 Dec 2016

Dense object detection and temporal tracking are needed across applications domains ranging from people-tracking to analysis of satellite imagery over time.

DENSE OBJECT DETECTION