Convolutional Set Transformer
Fuente:
arXiv
Saved in:
| Main Authors: | Chinello, Federico, Boracchi, Giacomo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MultiLink: Multi-class Structure Recovery via Agglomerative Clustering and Model Selection
by: Magri, Luca, et al.
Published: (2025)
by: Magri, Luca, et al.
Published: (2025)
Temporal-consistent CAMs for Weakly Supervised Video Segmentation in Waste Sorting
by: Marelli, Andrea, et al.
Published: (2025)
by: Marelli, Andrea, et al.
Published: (2025)
PIF: Anomaly detection via preference embedding
by: Leveni, Filippo, et al.
Published: (2025)
by: Leveni, Filippo, et al.
Published: (2025)
Hashing for Structure-based Anomaly Detection
by: Leveni, Filippo, et al.
Published: (2025)
by: Leveni, Filippo, et al.
Published: (2025)
Preference Isolation Forest for Structure-based Anomaly Detection
by: Leveni, Filippo, et al.
Published: (2025)
by: Leveni, Filippo, et al.
Published: (2025)
Explaining Multi-modal Large Language Models by Analyzing their Vision Perception
by: Giulivi, Loris, et al.
Published: (2024)
by: Giulivi, Loris, et al.
Published: (2024)
Concept Visualization: Explaining the CLIP Multi-modal Embedding Using WordNet
by: Giulivi, Loris, et al.
Published: (2024)
by: Giulivi, Loris, et al.
Published: (2024)
Composite Convolution: a Flexible Operator for Deep Learning on 3D Point Clouds
by: Floris, Alberto, et al.
Published: (2022)
by: Floris, Alberto, et al.
Published: (2022)
Evaluation and Analysis of Deep Neural Transformers and Convolutional Neural Networks on Modern Remote Sensing Datasets
by: Hurt, J. Alex, et al.
Published: (2025)
by: Hurt, J. Alex, et al.
Published: (2025)
T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision Transformers
by: Ntrougkas, Mariano V., et al.
Published: (2024)
by: Ntrougkas, Mariano V., et al.
Published: (2024)
Convolutional Neural Nets vs Vision Transformers: A SpaceNet Case Study with Balanced vs Imbalanced Regimes
by: Gothi, Akshar
Published: (2025)
by: Gothi, Akshar
Published: (2025)
Predicting Depression and Anxiety Risk in Dutch Neighborhoods from Street-View Images
by: Khodorivsko, Nin, et al.
Published: (2024)
by: Khodorivsko, Nin, et al.
Published: (2024)
A Deep Learning Pipeline for Solid Waste Detection in Remote Sensing Images
by: Gibellini, Federico, et al.
Published: (2025)
by: Gibellini, Federico, et al.
Published: (2025)
Probing Equivariance and Symmetry Breaking in Convolutional Networks
by: Vadgama, Sharvaree, et al.
Published: (2025)
by: Vadgama, Sharvaree, et al.
Published: (2025)
KernelWarehouse: Rethinking the Design of Dynamic Convolution
by: Li, Chao, et al.
Published: (2024)
by: Li, Chao, et al.
Published: (2024)
Neural Tangent Knowledge Distillation for Optical Convolutional Networks
by: Xiang, Jinlin, et al.
Published: (2025)
by: Xiang, Jinlin, et al.
Published: (2025)
Kolmogorov-Arnold Convolutions: Design Principles and Empirical Studies
by: Drokin, Ivan
Published: (2024)
by: Drokin, Ivan
Published: (2024)
DCNFIS: Deep Convolutional Neuro-Fuzzy Inference System
by: Yeganejou, Mojtaba, et al.
Published: (2023)
by: Yeganejou, Mojtaba, et al.
Published: (2023)
SetFlow: Generating Structured Sets of Representations for Multiple Instance Learning
by: Jovišić, Nikola, et al.
Published: (2026)
by: Jovišić, Nikola, et al.
Published: (2026)
TAVIS: A Benchmark for Egocentric Active Vision and Anticipatory Gaze in Imitation Learning
by: Spigler, Giacomo
Published: (2026)
by: Spigler, Giacomo
Published: (2026)
Deep Convolutional Neural Networks for Palm Fruit Maturity Classification
by: Han, Mingqiang, et al.
Published: (2025)
by: Han, Mingqiang, et al.
Published: (2025)
Convolutional Channel-wise Competitive Learning for the Forward-Forward Algorithm
by: Papachristodoulou, Andreas, et al.
Published: (2023)
by: Papachristodoulou, Andreas, et al.
Published: (2023)
Biological Plausibility and Representational Alignment of Feedback Alignment in Convolutional Networks
by: Lance, Jake, et al.
Published: (2026)
by: Lance, Jake, et al.
Published: (2026)
FFNet: MetaMixer-based Efficient Convolutional Mixer Design
by: Yun, Seokju, et al.
Published: (2024)
by: Yun, Seokju, et al.
Published: (2024)
Reviving ConvNeXt for Efficient Convolutional Diffusion Models
by: Kwon, Taesung, et al.
Published: (2026)
by: Kwon, Taesung, et al.
Published: (2026)
Toward Efficient Convolutional Neural Networks With Structured Ternary Patterns
by: Kyrkou, Christos
Published: (2024)
by: Kyrkou, Christos
Published: (2024)
VCMamba: Bridging Convolutions with Multi-Directional Mamba for Efficient Visual Representation
by: Munir, Mustafa, et al.
Published: (2025)
by: Munir, Mustafa, et al.
Published: (2025)
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers
by: Dibitonto, Francesco, et al.
Published: (2024)
by: Dibitonto, Francesco, et al.
Published: (2024)
Enhancing Convolutional Neural Networks with Higher-Order Numerical Difference Methods
by: Wang, Qi, et al.
Published: (2024)
by: Wang, Qi, et al.
Published: (2024)
Edge AI: Evaluation of Model Compression Techniques for Convolutional Neural Networks
by: Francy, Samer, et al.
Published: (2024)
by: Francy, Samer, et al.
Published: (2024)
An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration
by: Siomos, Vasilis, et al.
Published: (2024)
by: Siomos, Vasilis, et al.
Published: (2024)
CLAReSNet: When Convolution Meets Latent Attention for Hyperspectral Image Classification
by: Bandyopadhyay, Asmit, et al.
Published: (2025)
by: Bandyopadhyay, Asmit, et al.
Published: (2025)
Learning Robust Convolutional Neural Networks with Relevant Feature Focusing via Explanations
by: Adachi, Kazuki, et al.
Published: (2022)
by: Adachi, Kazuki, et al.
Published: (2022)
CDAN: Convolutional dense attention-guided network for low-light image enhancement
by: Shakibania, Hossein, et al.
Published: (2023)
by: Shakibania, Hossein, et al.
Published: (2023)
Pixel Embedding: Fully Quantized Convolutional Neural Network with Differentiable Lookup Table
by: Tokunaga, Hiroyuki, et al.
Published: (2024)
by: Tokunaga, Hiroyuki, et al.
Published: (2024)
Financial Fraud Identification and Interpretability Study for Listed Companies Based on Convolutional Neural Network
by: Li, Xiao
Published: (2025)
by: Li, Xiao
Published: (2025)
Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales
by: Pan, Shuokai, et al.
Published: (2024)
by: Pan, Shuokai, et al.
Published: (2024)
Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts
by: Kim, Hyunsu, et al.
Published: (2024)
by: Kim, Hyunsu, et al.
Published: (2024)
GHOST: Gaussian Hypothesis Open-Set Technique
by: Rabinowitz, Ryan, et al.
Published: (2025)
by: Rabinowitz, Ryan, et al.
Published: (2025)
Holistic Uncertainty Estimation For Open-Set Recognition
by: Erlygin, Leonid, et al.
Published: (2024)
by: Erlygin, Leonid, et al.
Published: (2024)
Similar Items
-
MultiLink: Multi-class Structure Recovery via Agglomerative Clustering and Model Selection
by: Magri, Luca, et al.
Published: (2025) -
Temporal-consistent CAMs for Weakly Supervised Video Segmentation in Waste Sorting
by: Marelli, Andrea, et al.
Published: (2025) -
PIF: Anomaly detection via preference embedding
by: Leveni, Filippo, et al.
Published: (2025) -
Hashing for Structure-based Anomaly Detection
by: Leveni, Filippo, et al.
Published: (2025) -
Preference Isolation Forest for Structure-based Anomaly Detection
by: Leveni, Filippo, et al.
Published: (2025)