Less Is More in the Long Tail: Stage-Adaptive Sample Selection for Annotation-Efficient Dense Prediction

arXiv:2609.25850 · cs.CV · Submitted 2026-09-22 · Read on arXiv

cs.CV

Submitted: 2026-09-22

Updated: 2026-09-22

Terminology

Active Learning — 28× in this paper · explained in 6 episodes
Acquisition Function — 8× in this paper · explained in 1 episode
Ablation — 6× in this paper · explained in 1 episode
Adaptation — 5× in this paper · explained in 1 episode
Benchmark — 5× in this paper · explained in 2 episodes
Transformer — 5× in this paper · explained in 2 episodes
Conference on Computer Vision and Pattern Recognition — 4× in this paper
Adaptive Weighting — 3× in this paper · explained in 1 episode
Redundancy — 3× in this paper · explained in 2 episodes
CVF International Conference on Computer Vision — 2× in this paper
Distillation — 2× in this paper · explained in 2 episodes
Embeddings — 2× in this paper · explained in 2 episodes
Generalization — 2× in this paper · explained in 13 episodes
Instruction Tuning — 2× in this paper · explained in 2 episodes
International Conference on Learning Representations — 2× in this paper
Medical Image Computing and Computer Assisted Intervention — 2× in this paper
Pruning — 2× in this paper · explained in 4 episodes
Pseudo-labels — 2× in this paper · explained in 2 episodes
Representation Learning — 2× in this paper · explained in 2 episodes
Robustness — 2× in this paper · explained in 5 episodes
Stage-Adaptive Sample Selection — 2× in this paper
nnU-Net — 2× in this paper · explained in 2 episodes
Accuracy — 1× in this paper · explained in 1 episode
Adaptivity — 1× in this paper · explained in 1 episode
Additivity — 1× in this paper · explained in 1 episode
Aggregation — 1× in this paper · explained in 1 episode
Alignment — 1× in this paper · explained in 1 episode
Benchmarking — 1× in this paper · explained in 3 episodes
Computational overhead — 1× in this paper · explained in 2 episodes
Core — 1× in this paper · explained in 2 episodes
Data Pruning — 1× in this paper · explained in 2 episodes
Decoupling — 1× in this paper · explained in 2 episodes
Distribution Shift — 1× in this paper · explained in 5 episodes
Downstream Tasks — 1× in this paper · explained in 2 episodes
External Validation — 1× in this paper · explained in 2 episodes
Fidelity — 1× in this paper · explained in 2 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
Hilbert Space — 1× in this paper · explained in 2 episodes
Human-in-the-Loop — 1× in this paper · explained in 3 episodes
Influence Functions — 1× in this paper · explained in 2 episodes
Information Gain — 1× in this paper · explained in 2 episodes
Iterative Refinement — 1× in this paper · explained in 3 episodes
Knowledge Distillation — 1× in this paper · explained in 11 episodes
Latent Space — 1× in this paper · explained in 7 episodes
Mixture of Experts — 1× in this paper · explained in 2 episodes
Non-stationarity — 1× in this paper · explained in 2 episodes
Self-Supervised Learning — 1× in this paper · explained in 7 episodes
Semi-supervised Learning — 1× in this paper · explained in 4 episodes
Transfer Learning — 1× in this paper · explained in 10 episodes
Transformer Architecture — 1× in this paper · explained in 2 episodes
U-net architecture — 1× in this paper · explained in 3 episodes

Sources

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

Terminology

Sources

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