Poster "object detection" Papers
105 papers found • Page 2 of 3
Conference
Bayesian Detector Combination for Object Detection with Crowdsourced Annotations
Zhi Qin Tan, Olga Isupova, Gustavo Carneiro et al.
Benchmarking Object Detectors with COCO: A New Path Forward
Shweta Singh, Aayan Yadav, Jitesh Jain et al.
Bucketed Ranking-based Losses for Efficient Training of Object Detectors
Feyza Yavuz, Baris Can Cam, Adnan Harun Dogan et al.
BugNIST - a Large Volumetric Dataset for Detection under Domain Shift
Patrick Jensen, Vedrana Dahl, Rebecca Engberg et al.
COALA: A Practical and Vision-Centric Federated Learning Platform
Weiming Zhuang, Jian Xu, Chen Chen et al.
Data-free Neural Representation Compression with Riemannian Neural Dynamics
Zhengqi Pei, Anran Zhang, Shuhui Wang et al.
Dataset Enhancement with Instance-Level Augmentations
Orest Kupyn, Christian Rupprecht
DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs
Donghyun Kim, Byeongho Heo, Dongyoon Han
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception
Yibo Wang, Ruiyuan Gao, Kai Chen et al.
DetKDS: Knowledge Distillation Search for Object Detectors
Lujun Li, Yufan Bao, Peijie Dong et al.
DeTra: A Unified Model for Object Detection and Trajectory Forecasting
Sergio Casas, Ben T Agro, Jiageng Mao et al.
DFD: Distilling the Feature Disparity Differently for Detectors
Kang Liu, Yingyi Zhang, Jingyun Zhang et al.
Differentiable Model Scaling using Differentiable Topk
Kai Liu, Ruohui Wang, Jianfei Gao et al.
Disentangled Pre-training for Human-Object Interaction Detection
Zhuolong Li, Xingao Li, Changxing Ding et al.
Distilling Knowledge from Large-Scale Image Models for Object Detection
Gang Li, Wenhai Wang, Xiang Li et al.
EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks
Ziming Wang, Ziling Wang, Huaning Li et al.
Enhancing Source-Free Domain Adaptive Object Detection with Low-confidence Pseudo Label Distillation
Ilhoon Yoon, Hyeongjun Kwon, Jin Kim et al.
FARSE-CNN: Fully Asynchronous, Recurrent and Sparse Event-Based CNN
Riccardo Santambrogio, Marco Cannici, Matteo Matteucci
GLOW: Global Layout Aware Attacks on Object Detection
Jun Bao, Buyu Liu, Kui Ren et al.
GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs
Mustafa Munir, William Avery, Md Mostafijur Rahman et al.
Improving fine-grained understanding in image-text pre-training
Ioana Bica, Anastasija Ilic, Matthias Bauer et al.
Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment
Muhammad Sohail Danish, Muhammad Haris Khan, Muhammad Akhtar Munir et al.
Instance-Aware Group Quantization for Vision Transformers
Jaehyeon Moon, Dohyung Kim, Jun Yong Cheon et al.
LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction
Penghui Du, Yu Wang, Yifan Sun et al.
Language-conditioned Detection Transformer
Jang Hyun Cho, Philipp Krähenbühl
LEOD: Label-Efficient Object Detection for Event Cameras
Ziyi Wu, Mathias Gehrig, Qing Lyu et al.
MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks
Sanbao Su, Xin Li, Thang Doan et al.
Möbius Transform for Mitigating Perspective Distortions in Representation Learning
Prakash Chandra Chhipa, Meenakshi Subhash Chippa, Kanjar De et al.
Modality Translation for Object Detection Adaptation without forgetting prior knowledge
Heitor Rapela Medeiros, Masih Aminbeidokhti, Fidel A Guerrero Pena et al.
Multi-scale Cross Distillation for Object Detection in Aerial Images
Kun Wang, Zi Wang, Zhang Li et al.
Open-Set Recognition in the Age of Vision-Language Models
Dimity Miller, Niko Suenderhauf, Alex Kenna et al.
PAD: Patch-Agnostic Defense against Adversarial Patch Attacks
Lihua Jing, Rui Wang, Wenqi Ren et al.
PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking
Jiahuan Long, Tingsong Jiang, Wen Yao et al.
PartGLEE: A Foundation Model for Recognizing and Parsing Any Objects
Junyi Li, Junfeng Wu, Weizhi Zhao et al.
Receptive Fields As Experts in Convolutional Neural Architectures
Dongze Lian, Weihao Yu, Xinchao Wang
Relation DETR: Exploring Explicit Position Relation Prior for Object Detection
Xiuquan Hou, Meiqin Liu, Senlin Zhang et al.
Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement
Xiuquan Hou, Meiqin Liu, Senlin Zhang et al.
Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection
Tim Salzmann, Markus Ryll, Alex Bewley et al.
SCoRe: Submodular Combinatorial Representation Learning
Anay Majee, Suraj Kothawade, Krishnateja Killamsetty et al.
Seeing Faces in Things: A Model and Dataset for Pareidolia
Mark T Hamilton, Simon Stent, Vasha G DuTell et al.
SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design
Seokju Yun, Youngmin Ro
Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-Training Strategies and Performance Insights
Yan Hao, Florent Forest, Olga Fink
SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization
Jialong Guo, Xinghao Chen, Yehui Tang et al.
Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once
Zhangheng Li, Shiwei Liu, Tianlong Chen et al.
Task-Aware Encoder Control for Deep Video Compression
Xingtong Ge, Jixiang Luo, XINJIE ZHANG et al.
Tensorial template matching for fast cross-correlation with rotations and its application for tomography
Antonio Martinez-Sanchez, Ulrike Homberg, J. M. Almira et al.
Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients
Dohyung Kim, Junghyup Lee, Jeimin Jeon et al.
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models
Francesco Croce, Naman D. Singh, Matthias Hein
UniFS: Universal Few-shot Instance Perception with Point Representations
Sheng Jin, Ruijie Yao, Lumin Xu et al.
Unsqueeze [CLS] Bottleneck to Learn Rich Representations
Qing Su, Shihao Ji