Alternatives and similar repositories for MonoTTA

Users that are interested in MonoTTA are comparing it to the libraries listed below

• sanmin0312 / LabelDistill
  [ECCV 2024] LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object Detection
  ☆38Updated 6 months ago
• ldtho / DifFUSER
  DifFUSER: Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation
  ☆73Updated 4 months ago
• Xin-Ye-1 / BEVDiffuser
  ☆15Updated last month
• xmuqimingxia / CoIn
  CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations(ICCV2023)
  ☆36Updated 10 months ago
• AlmoonYsl / OPEN
  [ECCV 2024] OPEN: Object-wise Position Embedding for Multi-view 3D Object Detection
  ☆67Updated 7 months ago
• songw-zju / HASSC
  The official implementation of "Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-Distillation" (CVPR 2024)
  ☆29Updated 9 months ago
• VDIGPKU / OpenAD
  OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection
  ☆48Updated 5 months ago
• woxihuanjiangguo / BEVNeXt
  ☆49Updated 8 months ago
• Sranc3 / M-BEV
  [AAAI24]This is the implementation for the paper M-BEV: Masked BEV Perception for Robust Autonomous Driving
  ☆38Updated last year
• SPA-junghokim / ProtoOcc
  [AAAI 2025] ProtoOcc: Accurate, Efficient 3D Occupancy Prediction Using Dual Branch Encoder-Prototype Query Decoder
  ☆24Updated 5 months ago
• BraveGroup / FullySparseFusion
  (TPAMI2024) Fully Sparse Fusion for 3D Object Detection
  ☆98Updated 10 months ago
• hailanyi / CPD
  Commonsense Prototype for Outdoor Unsupervised 3D Object Detection (CVPR 2024)
  ☆65Updated 8 months ago
• BraveGroup / PointSAM-for-MixSup
  Codes for ICLR 2024: "MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection"
  ☆70Updated 10 months ago
• jbwang1997 / OPUS
  [NeurIPS 2024] OPUS: Occupancy Prediction Using a Sparse Set
  ☆93Updated 2 months ago
• KuanchihHuang / VG-W3D
  [ECCV2024] Weakly Supervised 3D Object Detection via Multi-Level Visual Guidance
  ☆21Updated 10 months ago
• mengtan00 / SA-BEV
  This is the implementation of the paper "SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object Detection" (I…
  ☆71Updated last year
• hollow-503 / UniM2AE
  [ECCV2024] UniM2AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving
  ☆59Updated 8 months ago
• KuanchihHuang / PTT
  [CVPR2024] PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection
  ☆68Updated 10 months ago
• yichen928 / X-Drive
  [ICLR 2025] Official code implementation for the paper "X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenar…
  ☆51Updated 2 months ago
• yanzq95 / DHD
  Deep Height Decoupling for Precise Vision-based 3D Occupancy Prediction
  ☆39Updated 2 months ago
• Luoyadan / CRB-active-3Ddet
  The official PyTorch implementation of "Exploring Active 3D Object Detection from a Generalization Perspective" (ICLR Spotlight 2023).
  ☆60Updated last year
• sankin97 / HMFI
  [ECCV2022] Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection
  ☆25Updated 2 years ago
• engineerJPark / LiDARWeather
  [ECCV 2024 Oral] Official code of "Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather".
  ☆51Updated 7 months ago
• HIYYJX / MonoGAE
  ☆14Updated last year
• Jieqianyu / SGN
  [IEEE TIP 2024] Camera-based Semantic Scene Completion with Sparse Guidance Network
  ☆38Updated 7 months ago
• wuyang98 / Text2LiDAR
  ☆49Updated 5 months ago
• PuFanqi23 / MonoDGP
  [CVPR 2025] The offical implementation of 'MonoDGP: Monocular 3D Object Detection with Decoupled-Query and Geometry-Error Priors'
  ☆32Updated 2 months ago
• xiaolul2 / MGMap
  [CVPR2024] The code for "MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction"
  ☆106Updated last year
• happinesslz / SEED
  [ECCV 2024] A Simple and Effective 3D DETR in Point Clouds
  ☆76Updated 6 months ago
• yuyang-cloud / Drive-OccWorld
  Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving (AAAI-25)
  ☆40Updated 3 months ago