Important Object Identification with Semi-Supervised Learning for
Autonomous Driving

Important Object Identification with Semi-Supervised Learning for Autonomous Driving

5 March 2022

Papers citing "Important Object Identification with Semi-Supervised Learning for Autonomous Driving"

12 / 12 papers shown

Title
On-Road Object Importance Estimation: A New Dataset and A Model with Multi-Fold Top-Down Guidance Zhixiong Nan Yilong Chen Tianfei Zhou Tao Xiang 62 0 0 26 Nov 2024
Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer Tahira Shehzadi Ifza Didier Stricker Muhammad Zeshan Afzal ViT 27 0 0 11 Jul 2024
IDD-X: A Multi-View Dataset for Ego-relative Important Object Localization and Explanation in Dense and Unstructured Traffic Chirag Parikh Rohit Saluja C. V. Jawahar Ravi Kiran Sarvadevabhatla 19 2 0 12 Apr 2024
Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection Tahira Shehzadi K. Hashmi Didier Stricker Muhammad Zeshan Afzal 23 11 0 02 Apr 2024
Object Importance Estimation using Counterfactual Reasoning for Intelligent Driving Pranay Gupta Abhijat Biswas H. Admoni David Held 22 2 0 05 Dec 2023
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 39 55 0 10 Oct 2023
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning Enna Sachdeva Nakul Agarwal Suhas Chundi Sean Roelofs Jiachen Li Mykel Kochenderfer Chiho Choi Behzad Dariush 12 46 0 12 Sep 2023
Towards Continual Egocentric Activity Recognition: A Multi-modal Egocentric Activity Dataset for Continual Learning Linfeng Xu Qingbo Wu Lili Pan Fanman Meng Hongliang Li Chiyuan He Hanxin Wang Shaoxu Cheng Yunshu Dai EgoV HAI 17 23 0 26 Jan 2023
Learning Road Scene-level Representations via Semantic Region Prediction Zihao Xiao Alan Yuille Yi-Ting Chen 15 2 0 02 Jan 2023
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking Jiachen Li Hengbo Ma Zhihao Zhang Jinning Li M. Tomizuka 47 61 0 18 Feb 2021
Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference Chengxi Li Stanley H. Chan Yi-Ting Chen CML 76 51 0 05 Mar 2020
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 244 1,279 0 06 Mar 2017