DIFTA-3D: Depth-Consistent Instance-Level Feature Transfer and Adaptation of DINOv3 for 3D Detection

arXiv:2609.26702 · cs.CV · Submitted 2026-09-22 · Read on arXiv

cs.CV

Submitted: 2026-09-22

Updated: 2026-09-22

Terminology

Adaptation — 8× in this paper · explained in 1 episode
Aggregation — 6× in this paper · explained in 1 episode
Transformer — 6× in this paper · explained in 2 episodes
Distillation — 4× in this paper · explained in 2 episodes
Point Clouds — 4× in this paper · explained in 2 episodes
Ablation — 3× in this paper · explained in 1 episode
Consistency — 3× in this paper · explained in 3 episodes
Foundation Model — 3× in this paper · explained in 3 episodes
Alignment — 2× in this paper · explained in 1 episode
Benchmark — 2× in this paper · explained in 2 episodes
CVF International Conference on Computer Vision — 2× in this paper
Conference on Computer Vision and Pattern Recognition — 2× in this paper
Calibration — 1× in this paper · explained in 7 episodes
Core — 1× in this paper · explained in 2 episodes
Cosine Similarity — 1× in this paper · explained in 3 episodes
Failure Modes — 1× in this paper · explained in 3 episodes
Feature Extraction — 1× in this paper · explained in 2 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
Foundation Models — 1× in this paper · explained in 7 episodes
Guided attention — 1× in this paper · explained in 2 episodes
Provenance — 1× in this paper · explained in 3 episodes

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