Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks

19 December 2019

Luca Bertinetto

Romain Mueller

Konstantinos Tertikas

Papers citing "Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks"

50 / 74 papers shown

Title
Semantic Depth Matters: Explaining Errors of Deep Vision Networks through Perceived Class Similarities Katarzyna Filus Michał Romaszewski Mateusz Żarski 33 0 0 14 Apr 2025
Taxonomy-Aware Evaluation of Vision-Language Models Vésteinn Snæbjarnarson Kevin Du Niklas Stoehr Serge Belongie Ryan Cotterell Nico Lang Stella Frank 32 0 0 07 Apr 2025
ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks Erik Wallin Fredrik Kahl Lars Hammarstrand OODD 54 0 0 27 Mar 2025
Enhancing Depression Detection via Question-wise Modality Fusion Aishik Mandal Dana Atzil-Slonim Thamar Solorio Iryna Gurevych 74 0 0 26 Mar 2025
HELM: Hierarchical Encoding for mRNA Language Modeling Mehdi Yazdani-Jahromi Mangal Prakash Tommaso Mansi Artem Moskalev Rui Liao 97 2 0 13 Mar 2025
Learning and Evaluating Hierarchical Feature Representations Depanshu Sani Saket Anand 47 0 0 10 Mar 2025
Making Better Mistakes in CLIP-Based Zero-Shot Classification with Hierarchy-Aware Language Prompts Tong Liang Jim Davis VLM 96 0 0 04 Mar 2025
Hybrid Losses for Hierarchical Embedding Learning Haokun Tian Stefan Lattner Brian McFee Charalampos Saitis 50 0 0 22 Jan 2025
Harnessing Superclasses for Learning from Hierarchical Databases Nicolas Urbani Sylvain Rousseau Yves Grandvalet Leonardo Tanzi 70 1 0 25 Nov 2024
From Logits to Hierarchies: Hierarchical Clustering made Simple Emanuele Palumbo Moritz Vandenhirtz Alain Ryser Imant Daunhawer Julia E. Vogt 29 1 0 10 Oct 2024
Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport Siqi Zeng Sixian Du M. Yamada Han Zhao OT 46 0 0 04 Oct 2024
Revisiting Hierarchical Text Classification: Inference and Metrics Roman Plaud Matthieu Labeau Antoine Saillenfest Thomas Bonald 32 1 0 02 Oct 2024
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies Jia Shi Gautam Gare Jinjin Tian Siqi Chai Zhiqiu Lin Arun Vasudevan Di Feng Francesco Ferroni Shu Kong VLM OODD OOD 58 3 0 22 Jul 2024
Tree semantic segmentation from aerial image time series Venkatesh Ramesh Arthur Ouaknine David Rolnick 34 0 0 18 Jul 2024
Emergent Visual-Semantic Hierarchies in Image-Text Representations Morris Alper Hadar Averbuch-Elor VLM 37 7 0 11 Jul 2024
Generalized Robust Fundus Photography-based Vision Loss Estimation for High Myopia Zipei Yan Zhile Liang Zhengji Liu Shuai Wang Rachel Ka-Man Chun Jizhou Li C. Kee Dong Liang 32 0 0 04 Jul 2024
Hierarchical Selective Classification Shani Goren Ido Galil Ran El-Yaniv BDL 63 1 0 19 May 2024
SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection Mingxuan Liu Tyler L. Hayes Elisa Ricci G. Csurka Riccardo Volpi ObjD 61 1 0 16 May 2024
Zero-Shot Hierarchical Classification on the Common Procurement Vocabulary Taxonomy Federico Moiraghi Matteo Palmonari Davide Allavena Federico Morando VLM 21 1 0 16 May 2024
Neural Semantic Parsing with Extremely Rich Symbolic Meaning Representations Xiao Zhang Gosse Bouma Johan Bos NAI 33 0 0 19 Apr 2024
Image-based Novel Fault Detection with Deep Learning Classifiers using Hierarchical Labels N. Sergin Jiayu Huang Tzyy-Shuh Chang Hao Yan 27 3 0 26 Mar 2024
Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs Vardaan Pahuja Weidi Luo Yu Gu Cheng-Hao Tu Hong-You Chen Tanya Berger-Wolf Charles V. Stewart Song Gao Wei-Lun Chao Yu-Chuan Su 36 2 0 31 Dec 2023
BioCLIP: A Vision Foundation Model for the Tree of Life Samuel Stevens Jiaman Wu Matthew J Thompson Elizabeth G Campolongo Chan Hee Song ... Wasila M Dahdul Charles V. Stewart Tanya Berger-Wolf Wei-Lun Chao Yu-Chuan Su 36 64 0 30 Nov 2023
Deep Imbalanced Regression via Hierarchical Classification Adjustment Haipeng Xiong Angela Yao 28 3 0 26 Oct 2023
LOGICSEG: Parsing Visual Semantics with Neural Logic Learning and Reasoning Liulei Li Wenguan Wang Yi Yang NAI VLM 35 27 0 24 Sep 2023
Optimization of Rank Losses for Image Retrieval Elias Ramzi Nicolas Audebert Clément Rambour André Araujo Xavier Bitot Nicolas Thome 29 4 0 15 Sep 2023
Online Continual Learning on Hierarchical Label Expansion Byung Hyun Lee Ok-Cheol Jung Jonghyun Choi S. Chun CLL 30 8 0 28 Aug 2023
Integrating Visual and Semantic Similarity Using Hierarchies for Image Retrieval A. Venkataramanan Martin Laviale C´edric Pradalier 9 1 0 16 Aug 2023
Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers Alan Perotti Simone Bertolotto Eliana Pastor Andre' Panisson 13 3 0 01 Aug 2023
Addressing Discrepancies in Semantic and Visual Alignment in Neural Networks Natalie Abreu Nathan Vaska Victoria Helus 30 0 0 01 Jun 2023
Egocentric Hierarchical Visual Semantics L. Erculiani A. Bontempelli Andrea Passerini Fausto Giunchiglia OCL 24 2 0 09 May 2023
SEAL: Simultaneous Label Hierarchy Exploration And Learning Zhi-Hao Tan Zihao Wang Yifan Zhang 56 6 0 26 Apr 2023
Revisiting Single-gated Mixtures of Experts Amelie Royer I. Karmanov Andrii Skliar B. Bejnordi Tijmen Blankevoort MoE MoMe 38 6 0 11 Apr 2023
Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity Tong Liang Jim Davis 35 10 0 10 Mar 2023
From CAD models to soft point cloud labels: An automatic annotation pipeline for cheaply supervised 3D semantic segmentation Galadrielle Humblot-Renaux S. B. Jensen Andreas Møgelmose SSeg 3DPC NoLa 22 6 0 06 Feb 2023
Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification Kanishk Jain Shyamgopal Karthik Vineet Gandhi 21 5 0 01 Feb 2023
Inspecting class hierarchies in classification-based metric learning models Hyeongji Kim P. Parviainen Terje Berge K. Malde 22 0 0 26 Jan 2023
Learning from Taxonomy: Multi-label Few-Shot Classification for Everyday Sound Recognition Jinhua Liang Huy P Phan Emmanouil Benetos 37 11 0 17 Dec 2022
Addressing Mistake Severity in Neural Networks with Semantic Knowledge Natalie Abreu Nathan Vaska Victoria Helus AAML OOD 24 3 0 21 Nov 2022
Hierarchical classification at multiple operating points Jack Valmadre 25 14 0 19 Oct 2022
Continual Learning with Evolving Class Ontologies Zhiqiu Lin Deepak Pathak Yu-xiong Wang Deva Ramanan Shu Kong CLL 44 9 0 10 Oct 2022
Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method Lu Zhang Yang Wang Jiaogen Zhou Chenbo Zhang Yinglu Zhang Jihong Guan Yatao Bian Shuigeng Zhou 29 9 0 08 Oct 2022
Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings Zhen Yu Toan N. Nguyen Y. Gal Lie Ju Shekhar S. Chandra Lei Zhang Paul Bonnington Victoria Mar Zhiyong Wang Z. Ge 26 15 0 13 Sep 2022
A Survey of Neural Trees Haoling Li Mingli Song Mengqi Xue Haofei Zhang Jingwen Ye Lechao Cheng Mingli Song AI4CE 20 6 0 07 Sep 2022
Learning Hierarchy Aware Features for Reducing Mistake Severity Ashima Garg Depanshu Sani Saket Anand 19 18 0 26 Jul 2022
Benchmarking Omni-Vision Representation through the Lens of Visual Realms Yuanhan Zhang Zhen-fei Yin Jing Shao Ziwei Liu VLM 46 26 0 14 Jul 2022
Hierarchical Average Precision Training for Pertinent Image Retrieval Elias Ramzi Nicolas Audebert Nicolas Thome Clément Rambour Xavier Bitot 6 6 0 05 Jul 2022
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning Huitong Chen Yu Wang Q. Hu CLL 30 16 0 30 Jun 2022
All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label Predictions (CHAMP) A. Vaswani Gaurav Aggarwal Praneeth Netrapalli N. Hegde 22 4 0 17 Jun 2022
Loss Functions for Classification using Structured Entropy B. Lucena 24 3 0 14 Jun 2022