Papers Object Localization
“Object Localization” 태그가 달린 논문 726편 · 필터 해제
Few-shot Object Localization
Existing object localization methods are tailored to locate specific classes of objects, relying heavily on abundant labeled data for model optimization. However, acquiring large amounts of labeled data is challenging in…
Model OptimizationObjectObject CountingObject LocalizationCould We Generate Cytology Images from Histopathology Images? An Empirical Study
Automation in medical imaging is quite challenging due to the unavailability of annotated datasets and the scarcity of domain experts. In recent years, deep learning techniques have solved some complex medical imaging ta…
Data AugmentationImage-to-Image TranslationObject LocalizationStyle TransferCAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization Perspective
Recently, convolutional neural networks (CNNs) with large size kernels have attracted much attention in the computer vision field, following the success of the Vision Transformers. Large kernel CNNs have been reported to…
Data AugmentationObject LocalizationWeakly-Supervised Object LocalizationThe All-Seeing Project V2: Towards General Relation Comprehension of the Open World
We present the All-Seeing Project V2: a new model and dataset designed for understanding object relations in images. Specifically, we propose the All-Seeing Model V2 (ASMv2) that integrates the formulation of text genera…
AllHallucinationObject LocalizationRelation+2Weakly Supervised Monocular 3D Detection with a Single-View Image
Monocular 3D detection (M3D) aims for precise 3D object localization from a single-view image which usually involves labor-intensive annotation of 3D detection boxes. Weakly supervised M3D has recently been studied to ob…
Knowledge DistillationObject LocalizationSelf-Knowledge DistillationTransfer LearningFoveated Retinotopy Improves Classification and Localization in CNNs
From a falcon detecting prey to humans recognizing faces, many species exhibit extraordinary abilities in rapid visual localization and classification. These are made possible by a specialized retinal region called the f…
ClassificationImage Categorizationimage-classificationImage Classification+2Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
Visually-conditioned language models (VLMs) have seen growing adoption in applications such as visual dialogue, scene understanding, and robotic task planning; adoption that has fueled a wealth of new models such as LLaV…
HallucinationObject LocalizationQuestion AnsweringScene Understanding+2Toward Accurate Camera-based 3D Object Detection via Cascade Depth Estimation and Calibration
Recent camera-based 3D object detection is limited by the precision of transforming from image to 3D feature spaces, as well as the accuracy of object localization within the 3D space. This paper aims to address such a f…
3D Object DetectionDenoisingDepth EstimationDepth Prediction+5Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data
Large Vision-Language Models (VLMs) have demonstrated impressive performance on complex tasks involving visual input with natural language instructions. However, it remains unclear to what extent capabilities on natural …
BenchmarkingChange DetectionEarth ObservationImage Captioning+4CPR++: Object Localization via Single Coarse Point Supervision
Point-based object localization (POL), which pursues high-performance object sensing under low-cost data annotation, has attracted increased attention. However, the point annotation mode inevitably introduces semantic va…
ObjectObject LocalizationMsSVT++: Mixed-scale Sparse Voxel Transformer with Center Voting for 3D Object Detection
Accurate 3D object detection in large-scale outdoor scenes, characterized by considerable variations in object scales, necessitates features rich in both long-range and fine-grained information. While recent detectors ha…
3D Object DetectionObjectobject-detectionObject Detection+1Spatial Structure Constraints for Weakly Supervised Semantic Segmentation
The image-level label has prevailed in weakly supervised semantic segmentation tasks due to its easy availability. Since image-level labels can only indicate the existence or absence of specific categories of objects, vi…
ObjectObject LocalizationSemantic SegmentationWeakly supervised Semantic Segmentation+1Removal then Selection: A Coarse-to-Fine Fusion Perspective for RGB-Infrared Object Detection
In recent years, object detection utilizing both visible (RGB) and thermal infrared (IR) imagery has garnered extensive attention and has been widely implemented across a diverse array of fields. By leveraging the comple…
Multispectral Object DetectionObjectobject-detectionObject Detection+2Domain Adaptation for Large-Vocabulary Object Detectors
Large-vocabulary object detectors (LVDs) aim to detect objects of many categories, which learn super objectness features and can locate objects accurately while applied to various downstream data. However, LVDs often str…
Domain AdaptationKnowledge GraphsObjectObject LocalizationBilateral Reference for High-Resolution Dichotomous Image Segmentation
We introduce a novel bilateral reference framework (BiRefNet) for high-resolution dichotomous image segmentation (DIS). It comprises two essential components: the localization module (LM) and the reconstruction module (R…
Camouflaged Object SegmentationDichotomous Image SegmentationImage SegmentationObject Localization+2GTA: Guided Transfer of Spatial Attention from Object-Centric Representations
Utilizing well-trained representations in transfer learning often results in superior performance and faster convergence compared to training from scratch. However, even if such good representations are transferred, a mo…
Inductive BiasObject LocalizationTransfer LearningCyclic Learning for Binaural Audio Generation and Localization
Binaural audio is obtained by simulating the biological structure of human ears which plays an important role in artificial immersive spaces. A promising approach is to utilize mono audio and corresponding vision to …
Audio GenerationObjectObject LocalizationPoint Segment and Count: A Generalized Framework for Object Counting
Class-agnostic object counting aims to count all objects in an image with respect to example boxes or class names a.k.a few-shot and zero-shot counting. In this paper we propose a generalized framework for both few-s…
Few-shot Object Counting and DetectionKnowledge DistillationObjectObject Counting+2LangSplat: 3D Language Gaussian Splatting
Humans live in a 3D world and commonly use natural language to interact with a 3D scene. Modeling a 3D language field to support open-ended language queries in 3D has gained increasing attention recently. This paper intr…
NeRFObject LocalizationSemantic SegmentationFRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection
Rotation-equivariance is an essential yet challenging property in oriented object detection. While general object detectors naturally leverage robustness to spatial shifts due to the translation-equivariance of the conve…
Data AugmentationObjectobject-detectionObject Detection+2