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Greatest papers with code

Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Tracking

30 Jul 2018XU-TIANYANG/LADCF

The key innovations of the proposed method include adaptive spatial feature selection and temporal consistent constraints, with which the new tracker enables joint spatial-temporal filter learning in a lower dimensional discriminative manifold.

FEATURE SELECTION VIDEO OBJECT TRACKING VISUAL TRACKING

Contrastive Transformation for Self-supervised Correspondence Learning

9 Dec 2020594422814/ContrastCorr

It is worth mentioning that our method also surpasses the fully-supervised affinity representation (e. g., ResNet) and performs competitively against the recent fully-supervised algorithms designed for the specific tasks (e. g., VOT and VOS).

SELF-SUPERVISED LEARNING SEMANTIC SEGMENTATION VIDEO OBJECT SEGMENTATION VIDEO OBJECT TRACKING VIDEO SEMANTIC SEGMENTATION

SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking

ECCV 2020 tsingqguo/AttackTracker

We identify that online object tracking poses two new challenges: 1) it is difficult to generate imperceptible perturbations that can transfer across frames, and 2) real-time trackers require the attack to satisfy a certain level of efficiency.

ADVERSARIAL ATTACK VIDEO OBJECT TRACKING VISUAL OBJECT TRACKING VISUAL TRACKING

Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Videos

4 Dec 2018CAMMA-public/ConvLSTM-Surgical-Tool-Tracker

Results: We build a baseline tracker on top of the CNN model and demonstrate that our approach based on the ConvLSTM outperforms the baseline in tool presence detection, spatial localization, and motion tracking by over 5. 0%, 13. 9%, and 12. 6%, respectively.

INSTRUMENT RECOGNITION SURGICAL TOOL DETECTION VIDEO OBJECT TRACKING WEAKLY-SUPERVISED OBJECT LOCALIZATION

Fast Template Matching and Update for Video Object Tracking and Segmentation

CVPR 2020 insomnia94/FTMU

Specifically, the reinforcement learning agent learns to decide whether to update the target template according to the quality of the predicted result.

SEMANTIC SEGMENTATION SEMI-SUPERVISED VIDEO OBJECT SEGMENTATION TEMPLATE MATCHING VIDEO OBJECT TRACKING VIDEO SEMANTIC SEGMENTATION

ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles

21 Oct 2020StarsThu2016/ApproxDet

In this paper we introduce ApproxDet, an adaptive video object detection framework for mobile devices to meet accuracy-latency requirements in the face of changing content and resource contention scenarios.

SCENE CLASSIFICATION VIDEO OBJECT DETECTION VIDEO OBJECT TRACKING