Distill24
* *Dataset Distillation for Computer Vision
* ATOM: Attention Mixer for Efficient Dataset Distillation
* AugData Distillation for Monocular 3D Human Pose Estimation
* Coreset Selection for Object Detection
* Dataset condensation with latent quantile matching
* DeepDistAL: Deepfake Dataset Distillation using Active Learning
* Exploring the Impact of Dataset Bias on Dataset Distillation
* Generative Dataset Distillation: Balancing Global Structure and Local Details
* Large-scale Dataset Pruning with Dynamic Uncertainty
9 for Distill24
DistillDrive24
* *Distillation of Foundation Models for Autonomous Driving
* CleanMAP: Distilling Multimodal LLMs for Confidence-Driven Crowdsourced HD Map Updates
* Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation
* Drive4C: A Closed-Loop Benchmark on what Foundation Models Really Need to be Capable of for Language-Guided Autonomous Driving
* Fairness-Aware Boosting Model for Imbalanced 3D Point Cloud Segmentation in Autonomous Driving
* Harmonizing Attention Fields with Knowledge Distillation for Multi-View 3D Object Detection
* PF3Det: A Prompted Foundation Feature Assisted Visual Lidar 3D Detector
* RAD: Retrieval-Augmented Decision-Making of Meta-Actions with Vision-Language Models in Autonomous Driving
* ReasonDrive: Efficient Visual Question Answering for Autonomous Vehicles with Reasoning-Enhanced Small Vision-Language Models
* ReferGPT: Towards Zero-Shot Referring Multi-Object Tracking
* Robusto-1 Dataset: Comparing Humans and VLMs on Real Out-Of-Distribution Autonomous Driving VQA from Peru
* Talk2Traffic: Interactive and Editable Traffic Scenario Generation for Autonomous Driving with Multimodal Large Language Model
* Zfusion: an Effective Fuser of Camera and 4D Radar for 3D Object Perception in Autonomous Driving
13 for DistillDrive24