About

Visual Tracking is an essential and actively researched problem in the field of computer vision with various real-world applications such as robotic services, smart surveillance systems, autonomous driving, and human-computer interaction. It refers to the automatic estimation of the trajectory of an arbitrary target object, usually specified by a bounding box in the first frame, as it moves around in subsequent video frames.

Source: Learning Reinforced Attentional Representation for End-to-End Visual Tracking

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Greatest papers with code

SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks

CVPR 2019 STVIR/pysot

Moreover, we propose a new model architecture to perform depth-wise and layer-wise aggregations, which not only further improves the accuracy but also reduces the model size.

VISUAL OBJECT TRACKING VISUAL TRACKING

Fast Online Object Tracking and Segmentation: A Unifying Approach

CVPR 2019 foolwood/SiamMask

In this paper we illustrate how to perform both visual object tracking and semi-supervised video object segmentation, in real-time, with a single simple approach.

REAL-TIME VISUAL TRACKING SEMI-SUPERVISED SEMANTIC SEGMENTATION SEMI-SUPERVISED VIDEO OBJECT SEGMENTATION VISUAL OBJECT TRACKING

Learning Target Candidate Association to Keep Track of What Not to Track

30 Mar 2021visionml/pytracking

To tackle the problem of lacking ground-truth correspondences between distractor objects in visual tracking, we propose a training strategy that combines partial annotations with self-supervision.

VISUAL TRACKING

Probabilistic Regression for Visual Tracking

CVPR 2020 visionml/pytracking

In this work, we therefore propose a probabilistic regression formulation and apply it to tracking.

VISUAL TRACKING

Learning Discriminative Model Prediction for Tracking

ICCV 2019 visionml/pytracking

The current strive towards end-to-end trainable computer vision systems imposes major challenges for the task of visual tracking.

VISUAL OBJECT TRACKING VISUAL TRACKING

ATOM: Accurate Tracking by Overlap Maximization

CVPR 2019 visionml/pytracking

We argue that this approach is fundamentally limited since target estimation is a complex task, requiring high-level knowledge about the object.

CLASSIFICATION VISUAL OBJECT TRACKING VISUAL TRACKING

Distractor-aware Siamese Networks for Visual Object Tracking

ECCV 2018 foolwood/DaSiamRPN

During the off-line training phase, an effective sampling strategy is introduced to control this distribution and make the model focus on the semantic distractors.

INCREMENTAL LEARNING VISUAL OBJECT TRACKING VISUAL TRACKING

High Performance Visual Tracking With Siamese Region Proposal Network

CVPR 2018 foolwood/DaSiamRPN

Visual object tracking has been a fundamental topic in recent years and many deep learning based trackers have achieved state-of-the-art performance on multiple benchmarks.

REGION PROPOSAL VISUAL OBJECT TRACKING VISUAL TRACKING

Deeper and Wider Siamese Networks for Real-Time Visual Tracking

CVPR 2019 researchmm/SiamDW

Siamese networks have drawn great attention in visual tracking because of their balanced accuracy and speed.

REAL-TIME VISUAL TRACKING VISUAL OBJECT TRACKING

SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines

14 Nov 2019MegviiDetection/video_analyst

Following these guidelines, we design our Fully Convolutional Siamese tracker++ (SiamFC++) by introducing both classification and target state estimation branch(G1), classification score without ambiguity(G2), tracking without prior knowledge(G3), and estimation quality score(G4).

CLASSIFICATION ROBUST CLASSIFICATION VISUAL TRACKING