:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lappe, Alexander, Bognár, Anna, Nejad, Ghazaleh Ghamkhari, Mukovskiy, Albert, Martini, Lucas, Giese, Martin A., Vogels, Rufin
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	https://arxiv.org/abs/2405.09827
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BigMaQ: A Big Macaque Motion and Animation Dataset Bridging Image and 3D Pose Representations
by: Martini, Lucas, et al.
Published: (2026)

Another BRIXEL in the Wall: Towards Cheaper Dense Features
by: Lappe, Alexander, et al.
Published: (2025)

Register and [CLS] tokens yield a decoupling of local and global features in large ViTs
by: Lappe, Alexander, et al.
Published: (2025)

Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows
by: Nagar, Sandeep, et al.
Published: (2024)

Hybrid Deep Feature Extraction and ML for Construction and Demolition Debris Classification
by: Alashram, Obai, et al.
Published: (2026)

Weakly-Supervised Anomaly Detection in Surveillance Videos Based on Two-Stream I3D Convolution Network
by: Nejad, Sareh Soltani, et al.
Published: (2024)

Bridging Domains with Approximately Shared Features
by: Zhong, Ziliang Samuel, et al.
Published: (2024)

COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization
by: Zhang, Aozhong, et al.
Published: (2024)

Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment
by: Zhang, Youjia, et al.
Published: (2025)

HLQ: Fast and Efficient Backpropagation via Hadamard Low-rank Quantization
by: Kim, Seonggon, et al.
Published: (2024)

Rethinking Encoder-Decoder Flow Through Shared Structures
by: Laboyrie, Frederik, et al.
Published: (2025)

Learning to Chain Operations by Routing Information Through a Global Workspace
by: Chateau-Laurent, Hugo, et al.
Published: (2025)

Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation
by: Zheng, Haizhong, et al.
Published: (2023)

Enhanced Vehicle Speed Detection Considering Lane Recognition Using Drone Videos in California
by: Naeini, Amirali Ataee, et al.
Published: (2025)

You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts
by: Dou, Hongkun, et al.
Published: (2025)

DeepLatent: Think with Images via Parallel Latent Visual Reasoning
by: Lu, Dongchen, et al.
Published: (2026)

Manipulating Feature Visualizations with Gradient Slingshots
by: Bareeva, Dilyara, et al.
Published: (2024)

Aligning Text-to-Image Diffusion Models with Reward Backpropagation
by: Prabhudesai, Mihir, et al.
Published: (2023)

FUME: Fused Unified Multi-Gas Emission Network for Livestock Rumen Acidosis Detection
by: Islam, Taminul, et al.
Published: (2026)

Tokenization of Gaze Data
by: Rolff, Tim, et al.
Published: (2025)

Saliency strikes back: How filtering out high frequencies improves white-box explanations
by: Muzellec, Sabine, et al.
Published: (2023)

National level satellite-based crop field inventories in smallholder landscapes
by: Rufin, Philippe, et al.
Published: (2025)

AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
by: Pan, Jiachun, et al.
Published: (2023)

db-SP: Accelerating Sparse Attention for Visual Generative Models with Dual-Balanced Sequence Parallelism
by: Chen, Siqi, et al.
Published: (2025)

Deep Dreams Are Made of This: Visualizing Monosemantic Features in Diffusion Models
by: Szokalski, Adam, et al.
Published: (2026)

Taking it further: leveraging pseudo labels for field delineation across label-scarce smallholder regions
by: Rufin, Philippe, et al.
Published: (2023)

Object-Centric Cropping for Visual Few-Shot Classification
by: Abdali, Aymane, et al.
Published: (2025)

ChopGrad: Pixel-Wise Losses for Latent Video Diffusion via Truncated Backpropagation
by: Rivkin, Dmitriy, et al.
Published: (2026)

Visualizing high-dimensional loss landscapes with Hessian directions
by: Böttcher, Lucas, et al.
Published: (2022)

Contrastive Learning to Fine-Tune Feature Extraction Models for the Visual Cortex
by: Mulrooney, Alex, et al.
Published: (2024)

How Visual Representations Map to Language Feature Space in Multimodal LLMs
by: Venhoff, Constantin, et al.
Published: (2025)

Parallelized Spatiotemporal Binding
by: Singh, Gautam, et al.
Published: (2024)

Integrating Visual and X-Ray Machine Learning Features in the Study of Paintings by Goya
by: Ugail, Hassan, et al.
Published: (2025)

Domain Generalization for Crop Segmentation with Standardized Ensemble Knowledge Distillation
by: Angarano, Simone, et al.
Published: (2023)

TExplain: Explaining Learned Visual Features via Pre-trained (Frozen) Language Models
by: Taghanaki, Saeid Asgari, et al.
Published: (2023)

Instruction-Guided Fusion of Multi-Layer Visual Features in Large Vision-Language Models
by: Li, Xu, et al.
Published: (2024)

Efficient LLaMA-3.2-Vision by Trimming Cross-attended Visual Features
by: Lee, Jewon, et al.
Published: (2025)

A Theoretical View of Linear Backpropagation and Its Convergence
by: Li, Ziang, et al.
Published: (2021)

A Comparative Survey of Vision Transformers for Feature Extraction in Texture Analysis
by: Scabini, Leonardo, et al.
Published: (2024)

From Feature Visualization to Visual Circuits: Effect of Adversarial Model Manipulation
by: Nanfack, Geraldin, et al.
Published: (2024)