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Greatest papers with code

Deep Residual Learning for Image Recognition

CVPR 2016 tensorflow/models

Deep residual nets are foundations of our submissions to ILSVRC & COCO 2015 competitions, where we also won the 1st places on the tasks of ImageNet detection, ImageNet localization, COCO detection, and COCO segmentation.

DOMAIN GENERALIZATION FINE-GRAINED IMAGE CLASSIFICATION IMAGE-TO-IMAGE TRANSLATION OBJECT DETECTION PEDESTRIAN ATTRIBUTE RECOGNITION PEDESTRIAN TRAJECTORY PREDICTION PERSON RE-IDENTIFICATION RETINAL OCT DISEASE CLASSIFICATION SEMANTIC SEGMENTATION

Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction

ECCV 2020 Majiker/STAR

In this paper, we present STAR, a Spatio-Temporal grAph tRansformer framework, which tackles trajectory prediction by only attention mechanisms.

AUTONOMOUS DRIVING PEDESTRIAN TRAJECTORY PREDICTION TRAJECTORY PREDICTION

SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory Prediction

CVPR 2019 zhangpur/SR-LSTM

In order to address this issue, we propose a data-driven state refinement module for LSTM network (SR-LSTM), which activates the utilization of the current intention of neighbors, and jointly and iteratively refines the current states of all participants in the crowd through a message passing mechanism.

PEDESTRIAN TRAJECTORY PREDICTION TRAJECTORY PREDICTION

Encoding Crowd Interaction With Deep Neural Network for Pedestrian Trajectory Prediction

CVPR 2018 svip-lab/CIDNN

Specifically, motivated by the residual learning in deep learning, we propose to predict displacement between neighboring frames for each pedestrian sequentially.

PEDESTRIAN TRAJECTORY PREDICTION TRAJECTORY PREDICTION

SS-LSTM: A Hierarchical LSTM Model for Pedestrian Trajectory Prediction

IEEE Winter Conference on Applications of Computer Vision 2018 xuehaouwa/SS-LSTM

Previous deep learning LSTM-based approaches focus on the neighbourhood influence of pedestrians but ignore the scene layouts in pedestrian trajectory prediction.

PEDESTRIAN TRAJECTORY PREDICTION TRAJECTORY PREDICTION

Multi-Camera Trajectory Forecasting: Pedestrian Trajectory Prediction in a Network of Cameras

1 May 2020olly-styles/Multi-Camera-Trajectory-Forecasting

To facilitate research in this new area, we release the Warwick-NTU Multi-camera Forecasting Database (WNMF), a unique dataset of multi-camera pedestrian trajectories from a network of 15 synchronized cameras.

PEDESTRIAN TRAJECTORY PREDICTION TRAJECTORY FORECASTING

AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting

25 Mar 2021Khrylx/AgentFormer

Instead, we would prefer a method that allows an agent's state at one time to directly affect another agent's state at a future time.

AUTONOMOUS DRIVING PEDESTRIAN TRAJECTORY PREDICTION TRAJECTORY FORECASTING