Papers with Code 아카이브

Autonomous Vehicles

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 15
평가표: 1
보존된 평가 기록: 2

Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

<span style="color:grey; opacity: 0.6">( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/masterhow/panoflow

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PanoFlow: Learning 360° Optical Flow for Surrounding Temporal Understanding

https://github.com/matankleiner/coherence-awareness-in-diffractive-neural-networks

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Coherence Awareness in Diffractive Neural Networks

https://github.com/matejgrcic/Vistas-NP

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Dense open-set recognition with synthetic outliers generated by Real NVP

https://github.com/mathefuchs/pll-with-a-reject-option

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Partial-Label Learning with a Reject Option

https://github.com/matteobiagiola/drl-testing-experiments

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Testing of Deep Reinforcement Learning Agents with Surrogate Models

https://github.com/matthewwicker/IterativeSalienceOcclusion

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Robustness of 3D Deep Learning in an Adversarial Setting

https://github.com/matthewwicker/adversarialrobustnesscertificationforbnns

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Adversarial Robustness Certification for Bayesian Neural Networks

https://github.com/mattiasegu/darth

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DARTH: Holistic Test-time Adaptation for Multiple Object Tracking

https://github.com/mattiasegu/uncertainty_estimation_deep_learning

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A General Framework for Uncertainty Estimation in Deep Learning

https://github.com/mattpoggi/pydnet

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Towards real-time unsupervised monocular depth estimation on CPU

https://github.com/maunzzz/fine-grained-segmentation-networks

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Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization

https://github.com/mauriceqch/pcc_geo_cnn_v2

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Improved Deep Point Cloud Geometry Compression

https://github.com/mauriziofilippone/deep_gp_random_features

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Deep recurrent Gaussian process with variational Sparse Spectrum approximation

https://github.com/maxiuw/uada3d

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UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain Gaps

https://github.com/mayechi/lt3d-lf

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Long-Tailed 3D Detection via Multi-Modal Fusion

https://github.com/mazqtpopx/cranfield-navigation-gym

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Benchmarking Deep Reinforcement Learning for Navigation in Denied Sensor Environments

https://github.com/mbrossar/ai-imu-dr

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AI-IMU Dead-Reckoning

https://github.com/mbzuai-oryx/agent-x

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Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic Tasks

https://github.com/mbzuai-oryx/trackingmeetslmm

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Tracking Meets Large Multimodal Models for Driving Scenario Understanding

https://github.com/mbzuai-oryx/videomolmo

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VideoMolmo: Spatio-Temporal Grounding Meets Pointing

https://github.com/mcederle99/MAD4QN-PS

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A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning

https://github.com/mcg-nju/sparseocc

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Fully Sparse 3D Occupancy Prediction

https://github.com/mchancan/citylearn

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CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy Learning

https://github.com/mchancan/deepseqslam

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DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition

https://github.com/meaten/flowchain-iccv2023

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Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction

https://github.com/med-air/FedBN

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FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

https://github.com/mediabrain-sjtu/syncnet

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Latency-Aware Collaborative Perception

https://github.com/megayeye/triangle-net

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Triangle-Net: Towards Robustness in Point Cloud Learning

https://github.com/meghabyte/bottleneck

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Policy Learning with a Language Bottleneck

https://github.com/megvii-model/CrowdDetection

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Detection in Crowded Scenes: One Proposal, Multiple Predictions

https://github.com/megvii-research/LGD

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LGD: Label-guided Self-distillation for Object Detection

https://github.com/megvii-research/cvpr2023-unidistill

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UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View

https://github.com/megvii-research/mctrack

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MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving

https://github.com/megvii-research/occdepth

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OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion

https://github.com/megvii-research/petr

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PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

https://github.com/mehdiazarafza/hybrid-reasoning

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Hybrid Reasoning Based on Large Language Models for Autonomous Car Driving

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