ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model | Paper Citation Record

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This paper cites Deep Learning using Rectified Linear Units (ReLU).

ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Deep Learning using Rectified Linear Units (ReLU)

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Barron, Fer- ran Marques, and Jitendra Malik

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Qwen Technical Report

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model CoReS: Orchestrating the Dance of Reasoning and Segmentation

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model PaliGemma: A versatile 3B VLM for transfer

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Coco- stuff: Thing and stuff classes in context

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Emerg- ing properties in self-supervised vision transformers

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Unresolved cited work

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Rethinking Atrous Convolution for Semantic Image Segmentation

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model A Unified Sequence Interface for Vision Tasks

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Schwing, and Alexander Kir- illov

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Schwing, Alexan- der Kirillov, and Rohit Girdhar

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model CascadePSP: Toward class-agnostic and very high- resolution segmentation via global and local refinement

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Gonzalez, Ion Stoica, and Eric P

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Instance-aware se- mantic segmentation via multi-task network cascades

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Vision-language transformer and query generation for refer- ring segmentation

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model De- coupling zero-shot semantic segmentation

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model A discriminatively trained, multiscale, deformable part model

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Dual attention network for scene segmentation

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Scal- ing open-vocabulary image segmentation with image-level labels

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Fast r-cnn

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Efficient hierarchical graph-based video segmentation

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Global knowledge calibration for fast open-vocabulary segmentation

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Multi-modal instruction tuned llms with fine-grained visual perception

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model LoRA: Low-Rank Adaptation of Large Language Models

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Bi-directional relationship inferring network for referring image segmentation

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Referring im- age segmentation via cross-modal progressive comprehen- sion

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model CCNet: Criss-cross attention for semantic segmentation

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Scaling up visual and vision-language representation learning with noisy text supervision

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Collaborative vision-text rep- resentation optimizing for open-vocabulary segmentation

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Locate then segment: A strong pipeline for referring image segmentation

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Referitgame: Referring to objects in pho- tographs of natural scenes

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Segment any- thing

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Large language models are zero-shot reasoners

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Lisa: Reasoning segmenta- tion via large language model

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model LLaVA-OneVision: Easy Visual Task Transfer

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model BLIP-2: bootstrapping language-image pre-training with frozen image encoders and large language models

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Referring transformer: A one- step approach to multi-task visual grounding

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Textbooks are all you need ii: phi-1.5 technical report, 2023

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Open-vocabulary semantic segmentation with mask-adapted clip

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Microsoft COCO: Common Objects in Context

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Visual instruction tuning, 2023

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Fully convolutional networks for semantic segmentation

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Decoupled Weight Decay Regularization

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Cascade grouped attention network for referring expression segmentation

Reference 48

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Generation and comprehension of unambiguous object descriptions

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model The mapillary vistas dataset for semantic understanding of street scenes

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Chatgpt: A language model for conversational ai

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Gpt-4 technical report, 2023

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Kosmos-2: Ground- ing multimodal large language models to the world

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Kosmos-2: Grounding Multimodal Large Language Models to the World

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Reference 55

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Pinheiro, Tsung-Yi Lin, Ronan Collobert, and Piotr Doll´ar

Reference 56

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Reference 57

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Learning to segment every referring object point by point

Reference 58

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Learning transferable visual models from natural language supervision

Reference 59

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Reference 60

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Anwer, Eric Xing, Ming-Hsuan Yang, and Fahad S

Reference 61

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Reference 62

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Pixellm: Pixel reasoning with large multimodal model

Reference 63

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Reference 64

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Reference 65

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Selective search for object recognition

Reference 66

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Llm-seg: Bridging image segmen- tation and large language model reasoning

Reference 67

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model SegRefiner: Towards model- agnostic segmentation refinement with discrete diffusion process

Reference 68

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Reference 69

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World

Reference 70

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Non-local neural networks

Reference 71

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model SOLO: Segmenting objects by locations

Reference 72

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Solov2: Dynamic and fast instance segmentation

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:10:41.939830Z

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Images Speak in Images: A Generalist Painter for In-Context Visual Learning

Reference 74

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model SegGPT: Segmenting Everything In Context

Reference 75

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Chain-of-thought prompting elicits reasoning in large language models

Reference 76

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Reference 77

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Alvarez, and Ping Luo

Reference 78

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Open-vocabulary panop- tic segmentation with text-to-image diffusion models

Reference 79

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model A simple baseline for open- vocabulary semantic segmentation with pre-trained vision- language model

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:10:41.859266Z

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Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:10:41.840574Z

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Ferret: Refer and Ground Anything Anywhere at Any Granularity

Reference 82

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Convolutions die hard: Open-vocabulary seg- mentation with single frozen convolutional clip

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:10:41.822743Z

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Osprey: Pixel un- derstanding with visual instruction tuning

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:10:41.805366Z

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Observation 548302c0-d01d-4a26-9eac-6ec52d771371 · outbound

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Sigmoid loss for language image pre-training,

Reference 85

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest

Reference 86

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model ControlVideo: Training-free Controllable Text-to-Video Generation

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-12T10:10:41.157888Z

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Groundhog: Grounding large language models to holistic segmentation

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:10:41.775048Z

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Observation a43a1024-e009-476b-aede-3d65b8b1cb3a · outbound

This paper cites Psalm: Pixelwise segmentation with large multi-modal model.

ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Psalm: Pixelwise segmentation with large multi-modal model

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:10:41.756026Z

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Observation 46b773f9-a729-4c19-962d-315d1de1023b · outbound

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Rethinking semantic segmen- tation from a sequence-to-sequence perspective with trans- formers

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:10:41.739593Z

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Observation 6e715acd-3bbc-4c16-88b8-ecfbf0d317ba · outbound

This paper cites Scene parsing through ade20k dataset.

ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Scene parsing through ade20k dataset

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:10:41.722980Z

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Observation cf837357-61af-430d-ac08-29f3e48b1a29 · outbound

This paper cites Seqtr: A simple yet universal network for visual grounding.

ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model Seqtr: A simple yet universal network for visual grounding

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:10:41.704525Z

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Observation 25354d67-8d8e-4442-96ce-34acb6d4f0c4 · outbound

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 93

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Observation 9380f26d-e32a-4e8c-b96d-46447ed59b62 · outbound

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ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model User: <IMAGE,MASK> Please segment target region with mask and corre- sponding category

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:10:41.686647Z

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