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Found 4 papers, 2 papers with code
SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos
Tracking objects in soccer videos is extremely important to gather both player and team statistics, whether it is to estimate the total distance run, the ball possession or the team formation.
ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization
Without the boundary information of action segments, existing methods mostly rely on multiple instance learning (MIL), where the predictions of unlabeled instances (i. e., video snippets) are supervised by classifying labeled bags (i. e., untrimmed videos).
Feature Combination Meets Attention: Baidu Soccer Embeddings and Transformer based Temporal Detection
With rapidly evolving internet technologies and emerging tools, sports related videos generated online are increasing at an unprecedentedly fast pace.
CURSOR-BASED ADAPTIVE QUANTIZATION FOR DEEP NEURAL NETWORK
We further devise a new loss function in the search process to simultaneously optimize accuracy and parameter size of the model.
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