Copertina

TIE-KD: Teacher-Independent and Explainable Knowledge Distillation for Monocular Depth Estimation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Choi, Sangwon, Choi, Daejune, Kim, Duksu
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Fourier-Guided Attention Upsampling for Image Super-Resolution
di: Choi, Daejune, et al.
Pubblicazione: (2025)

Stereo-Matching Knowledge Distilled Monocular Depth Estimation Filtered by Multiple Disparity Consistency
di: Ka, Woonghyun, et al.
Pubblicazione: (2024)

Structure-Centric Robust Monocular Depth Estimation via Knowledge Distillation
di: Chen, Runze, et al.
Pubblicazione: (2024)

SPACE-CLIP: Spatial Perception via Adaptive CLIP Embeddings for Monocular Depth Estimation
di: Cho, Taewan, et al.
Pubblicazione: (2026)

UM-Depth : Uncertainty Masked Self-Supervised Monocular Depth Estimation with Visual Odometry
di: Um, Tae-Wook, et al.
Pubblicazione: (2025)

Promoting CNNs with Cross-Architecture Knowledge Distillation for Efficient Monocular Depth Estimation
di: Zheng, Zhimeng, et al.
Pubblicazione: (2024)

Distill Any Depth: Distillation Creates a Stronger Monocular Depth Estimator
di: He, Xiankang, et al.
Pubblicazione: (2025)

Bridging Geometric and Semantic Foundation Models for Generalized Monocular Depth Estimation
di: Ma, Sanggyun, et al.
Pubblicazione: (2025)

MST-KD: Multiple Specialized Teachers Knowledge Distillation for Fair Face Recognition
di: Caldeira, Eduarda, et al.
Pubblicazione: (2024)

Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces
di: Choi, Wonhyeok, et al.
Pubblicazione: (2025)

CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation
di: Lee, Jungsoo, et al.
Pubblicazione: (2025)

Shedding Light on Depth: Explainability Assessment in Monocular Depth Estimation
di: Cirillo, Lorenzo, et al.
Pubblicazione: (2025)

Self-supervised Monocular Depth Estimation Robust to Reflective Surface Leveraged by Triplet Mining
di: Choi, Wonhyeok, et al.
Pubblicazione: (2025)

Scale-invariant and View-relational Representation Learning for Full Surround Monocular Depth
di: Hwang, Kyumin, et al.
Pubblicazione: (2025)

TopKD: Top-scaled Knowledge Distillation
di: Wang, Qi, et al.
Pubblicazione: (2025)

A Large-Depth-Range Layer-Based Hologram Dataset for Machine Learning-Based 3D Computer-Generated Holography
di: Lee, Jaehong, et al.
Pubblicazione: (2025)

Depth-discriminative Metric Learning for Monocular 3D Object Detection
di: Choi, Wonhyeok, et al.
Pubblicazione: (2024)

WEDepth: Efficient Adaptation of World Knowledge for Monocular Depth Estimation
di: Wang, Gongshu, et al.
Pubblicazione: (2025)

The Third Monocular Depth Estimation Challenge
di: Spencer, Jaime, et al.
Pubblicazione: (2024)

PTC-Depth: Pose-Refined Monocular Depth Estimation with Temporal Consistency
di: Han, Leezy, et al.
Pubblicazione: (2026)

Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation
di: Wang, Ning-Hsu, et al.
Pubblicazione: (2024)

Depth AnyEvent: A Cross-Modal Distillation Paradigm for Event-Based Monocular Depth Estimation
di: Bartolomei, Luca, et al.
Pubblicazione: (2025)

MoKD: Multi-Task Optimization for Knowledge Distillation
di: Hayder, Zeeshan, et al.
Pubblicazione: (2025)

EA-KD: Entropy-based Adaptive Knowledge Distillation
di: Su, Chi-Ping, et al.
Pubblicazione: (2023)

BD-KD: Balancing the Divergences for Online Knowledge Distillation
di: Amara, Ibtihel, et al.
Pubblicazione: (2022)

RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR Features
di: Bang, Geonho, et al.
Pubblicazione: (2024)

AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation
di: Kim, Hyungmin, et al.
Pubblicazione: (2022)

Teacher as a Lenient Expert: Teacher-Agnostic Data-Free Knowledge Distillation
di: Shin, Hyunjune, et al.
Pubblicazione: (2024)

KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling
di: Wang, Yu, et al.
Pubblicazione: (2022)

ACAM-KD: Adaptive and Cooperative Attention Masking for Knowledge Distillation
di: Lan, Qizhen, et al.
Pubblicazione: (2025)

CrossKD: Cross-Head Knowledge Distillation for Object Detection
di: Wang, Jiabao, et al.
Pubblicazione: (2023)

FreeKD: Knowledge Distillation via Semantic Frequency Prompt
di: Zhang, Yuan, et al.
Pubblicazione: (2023)

DepthFocus: Controllable Depth Estimation for See-Through Scenes
di: Min, Junhong, et al.
Pubblicazione: (2025)

UniDepth: Universal Monocular Metric Depth Estimation
di: Piccinelli, Luigi, et al.
Pubblicazione: (2024)

Scalable Autoregressive Monocular Depth Estimation
di: Wang, Jinhong, et al.
Pubblicazione: (2024)

Survey on Monocular Metric Depth Estimation
di: Zhang, Jiuling
Pubblicazione: (2025)

The Fourth Monocular Depth Estimation Challenge
di: Obukhov, Anton, et al.
Pubblicazione: (2025)

Estimating Depth of Monocular Panoramic Image with Teacher-Student Model Fusing Equirectangular and Spherical Representations
di: Liu, Jingguo, et al.
Pubblicazione: (2024)

Text-Guided 6D Object Pose Rearrangement via Closed-Loop VLM Agents
di: Baik, Sangwon, et al.
Pubblicazione: (2026)

Switch-KD: Visual-Switch Knowledge Distillation for Vision-Language Models
di: Sun, Haoyi, et al.
Pubblicazione: (2026)