About

Benchmarks

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Greatest papers with code

BMN: Boundary-Matching Network for Temporal Action Proposal Generation

ICCV 2019 PaddlePaddle/models

To address these difficulties, we introduce the Boundary-Matching (BM) mechanism to evaluate confidence scores of densely distributed proposals, which denote a proposal as a matching pair of starting and ending boundaries and combine all densely distributed BM pairs into the BM confidence map.

ACTION DETECTION ACTION RECOGNITION TEMPORAL ACTION PROPOSAL GENERATION

BSN: Boundary Sensitive Network for Temporal Action Proposal Generation

ECCV 2018 PaddlePaddle/models

Temporal action proposal generation is an important yet challenging problem, since temporal proposals with rich action content are indispensable for analysing real-world videos with long duration and high proportion irrelevant content.

ACTION DETECTION TEMPORAL ACTION PROPOSAL GENERATION

SST: Single-Stream Temporal Action Proposals

CVPR 2017 shyamal-b/sst

Our paper presents a new approach for temporal detection of human actions in long, untrimmed video sequences.

ACTION DETECTION TEMPORAL ACTION PROPOSAL GENERATION

A Better Use of Audio-Visual Cues: Dense Video Captioning with Bi-modal Transformer

17 May 2020v-iashin/BMT

We show the effectiveness of the proposed model with audio and visual modalities on the dense video captioning task, yet the module is capable of digesting any two modalities in a sequence-to-sequence task.

DENSE VIDEO CAPTIONING TEMPORAL ACTION PROPOSAL GENERATION

CTAP: Complementary Temporal Action Proposal Generation

ECCV 2018 jiyanggao/CTAP

Temporal action proposal generation is an important task, akin to object proposals, temporal action proposals are intended to capture "clips" or temporal intervals in videos that are likely to contain an action.

TEMPORAL ACTION PROPOSAL GENERATION

TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks

23 Nov 2020HumamAlwassel/TSP

Extensive experiments show that using features trained with our novel pretraining strategy significantly improves the performance of recent state-of-the-art methods on three tasks: Temporal Action Localization, Action Proposal Generation, and Dense Video Captioning.

ACTION CLASSIFICATION ACTION CLASSIFICATION DENSE VIDEO CAPTIONING TEMPORAL ACTION PROPOSAL GENERATION TEMPORAL LOCALIZATION

Relaxed Transformer Decoders for Direct Action Proposal Generation

3 Feb 2021MCG-NJU/RTD-Action

Extensive experiments on THUMOS14 and ActivityNet-1. 3 benchmarks demonstrate the effectiveness of RTD-Net, on both tasks of temporal action proposal generation and temporal action detection.

ACTION DETECTION TEMPORAL ACTION PROPOSAL GENERATION VIDEO UNDERSTANDING