Deep ViT Features as Dense Visual Descriptors | Paper Citation Record

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ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation cites this paper.

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation Deep ViT Features as Dense Visual Descriptors

Reference 119

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:25:18.019787Z

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Observation e06842bc-d1ce-49b8-a48d-d911c2f88299 · inbound

UrbanCAD: Towards Highly Controllable and Photorealistic 3D Vehicles for Urban Scene Simulation cites this paper.

UrbanCAD: Towards Highly Controllable and Photorealistic 3D Vehicles for Urban Scene Simulation Deep ViT Features as Dense Visual Descriptors

Reference 4

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Observation 084c799b-533d-4215-9c35-03011c8fda8e · inbound

Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning cites this paper.

Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning Deep ViT Features as Dense Visual Descriptors

Reference 1

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Observation 5562cb9f-ff28-4e93-a2e2-4860139fcf6e · inbound

Categorical Keypoint Positional Embedding for Robust Animal Re-Identification cites this paper.

Categorical Keypoint Positional Embedding for Robust Animal Re-Identification Deep ViT Features as Dense Visual Descriptors

Reference 2

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Observation 7121af3f-0cea-4234-95e8-efbc59260239 · inbound

MAGMA: Manifold Regularization for MAEs cites this paper.

MAGMA: Manifold Regularization for MAEs Deep ViT Features as Dense Visual Descriptors

Reference 2

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Observation 1195cb44-1cec-402d-bd32-1dea98310b8d · inbound

DIVE: Taming DINO for Subject-Driven Video Editing cites this paper.

DIVE: Taming DINO for Subject-Driven Video Editing Deep ViT Features as Dense Visual Descriptors

Reference 1

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Observation be09a5fb-5527-4516-b6a1-5649e8772b4b · inbound

Distillation of Diffusion Features for Semantic Correspondence cites this paper.

Distillation of Diffusion Features for Semantic Correspondence Deep ViT Features as Dense Visual Descriptors

Reference 1

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Observation 87e8edc2-f6c6-417a-9e77-265297dcc0ef · inbound

DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo cites this paper.

DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo Deep ViT Features as Dense Visual Descriptors

Reference 6

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Observation b2df234b-f141-4692-a438-0e543ad55555 · inbound

Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation cites this paper.

Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T20:10:47.357353Z

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Observation 650dad2a-7c59-4daa-96a4-1cc9ad09630b · inbound

DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving cites this paper.

DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving Deep ViT Features as Dense Visual Descriptors

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-11T17:26:28.950433Z

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Observation a4ab7d16-9948-4a40-947d-d398aa7a4468 · inbound

Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation cites this paper.

Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation Deep ViT Features as Dense Visual Descriptors

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:26.470848Z

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Observation ed917cb5-7e74-4cfa-93ef-19968c800fc9 · inbound

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation cites this paper.

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation Deep ViT Features as Dense Visual Descriptors

Reference 47

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Observation f1fb5de3-52e3-4e71-b754-9d14821a8089 · inbound

Exploring Temporally-Aware Features for Point Tracking cites this paper.

Exploring Temporally-Aware Features for Point Tracking Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T17:25:52.804922Z

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Observation cc12395c-daee-41de-a5f2-20262dae3c2d · inbound

Automated Measurement of Eczema Severity with Self-Supervised Learning cites this paper.

Automated Measurement of Eczema Severity with Self-Supervised Learning Deep ViT Features as Dense Visual Descriptors

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:34.922510Z

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Observation 5874fc14-64dd-4796-abb1-018cd06aacc5 · inbound

Robotic Task Ambiguity Resolution via Natural Language Interaction cites this paper.

Robotic Task Ambiguity Resolution via Natural Language Interaction Deep ViT Features as Dense Visual Descriptors

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T10:36:59.065795Z

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Observation 510a734a-66eb-45c7-85e8-bb482d4b0330 · inbound

Grounded Task Axes: Zero-Shot Semantic Skill Generalization via Task-Axis Controllers and Visual Foundation Models cites this paper.

Grounded Task Axes: Zero-Shot Semantic Skill Generalization via Task-Axis Controllers and Visual Foundation Models Deep ViT Features as Dense Visual Descriptors

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:25.664150Z

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Observation 142abc24-a300-4ae2-83f6-371f4ead5fb8 · inbound

Guiding Diffusion with Deep Geometric Moments: Balancing Fidelity and Variation cites this paper.

Guiding Diffusion with Deep Geometric Moments: Balancing Fidelity and Variation Deep ViT Features as Dense Visual Descriptors

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:26.261952Z

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Observation 0c4c77bd-525f-4379-b8ac-ad7ba49c8b22 · inbound

Object-level Self-Distillation for Vision Pretraining cites this paper.

Object-level Self-Distillation for Vision Pretraining Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:54.657235Z

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Observation 60d41486-0e03-4083-8dd7-6de7fc5fc742 · inbound

ADAM: Autonomous Discovery and Annotation Model using LLMs for Context-Aware Annotations cites this paper.

ADAM: Autonomous Discovery and Annotation Model using LLMs for Context-Aware Annotations Deep ViT Features as Dense Visual Descriptors

Reference 1

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Observation 928be4f3-b957-4f07-9abc-f667ba638668 · inbound

Online Long-term Point Tracking in the Foundation Model Era cites this paper.

Online Long-term Point Tracking in the Foundation Model Era Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T18:06:17.431860Z

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Observation e889d9bb-59c6-4de3-859a-6e4333d74a5e · inbound

PCR-GS: COLMAP-Free 3D Gaussian Splatting via Pose Co-Regularizations cites this paper.

PCR-GS: COLMAP-Free 3D Gaussian Splatting via Pose Co-Regularizations Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T16:18:24.841321Z

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Observation bbb79a4f-d31c-4cea-b127-90f5b0070a05 · inbound

MotionShot: Adaptive Motion Transfer across Arbitrary Objects for Text-to-Video Generation cites this paper.

MotionShot: Adaptive Motion Transfer across Arbitrary Objects for Text-to-Video Generation Deep ViT Features as Dense Visual Descriptors

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T15:20:00.044930Z

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Observation c75eca5b-3add-4908-a582-fc3522310408 · inbound

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes cites this paper.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T05:14:35.096273Z

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Observation 0fd8203c-7202-4fef-bfcb-f36ae3b3f04a · inbound

No Masks Needed: Explainable AI for Deriving Segmentation from Classification cites this paper.

No Masks Needed: Explainable AI for Deriving Segmentation from Classification Deep ViT Features as Dense Visual Descriptors

Reference 19

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Observation 71b76815-404a-4829-8cc6-d66127a07f2b · inbound

Structure-Preserving Medical Image Generation from a Latent Graph Representation cites this paper.

Structure-Preserving Medical Image Generation from a Latent Graph Representation Deep ViT Features as Dense Visual Descriptors

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T17:47:01.461255Z

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Observation f49e918f-35f5-4eb9-996b-99abc183dc10 · inbound

Generalizable Object Re-Identification via Visual In-Context Prompting cites this paper.

Generalizable Object Re-Identification via Visual In-Context Prompting Deep ViT Features as Dense Visual Descriptors

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T14:33:20.462407Z

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Observation f36cbf6a-aa6b-4343-89c2-ea0305796b62 · inbound

Maybe you don't need a U-Net: convolutional feature upsampling for materials micrograph segmentation cites this paper.

Maybe you don't need a U-Net: convolutional feature upsampling for materials micrograph segmentation Deep ViT Features as Dense Visual Descriptors

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T16:44:21.050130Z

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Observation 9dda9dd1-18d5-4c1b-b42f-e0fba1e583e1 · inbound

Weakly-Supervised Learning of Dense Functional Correspondences cites this paper.

Weakly-Supervised Learning of Dense Functional Correspondences Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T10:37:51.275765Z

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Observation 8d189666-5c52-47ae-af0f-783011e01d6d · inbound

Robotic Manipulation Framework Based on Semantic Keypoints for Packing Shoes of Different Sizes, Shapes, and Softness cites this paper.

Robotic Manipulation Framework Based on Semantic Keypoints for Packing Shoes of Different Sizes, Shapes, and Softness Deep ViT Features as Dense Visual Descriptors

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T04:36:20.760224Z

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Observation 41863813-330f-4116-8225-29db3a6c550b · inbound

From One-to-One to Many-to-Many: Dynamic Cross-Layer Injection for Deep Vision-Language Fusion cites this paper.

From One-to-One to Many-to-Many: Dynamic Cross-Layer Injection for Deep Vision-Language Fusion Deep ViT Features as Dense Visual Descriptors

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T10:18:31.361765Z

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Observation d9fc5d41-16d8-4161-9084-f14b8de71451 · inbound

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders cites this paper.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Deep ViT Features as Dense Visual Descriptors

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:39.247257Z

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Observation 504b71b5-f443-4e31-8795-55a7245c90a3 · inbound

Uncertainty-Aware Hierarchical Re-Localization in OpenStreetMap via Semantic Alignment cites this paper.

Uncertainty-Aware Hierarchical Re-Localization in OpenStreetMap via Semantic Alignment Deep ViT Features as Dense Visual Descriptors

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T19:36:19.815385Z

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Observation e772a24d-ec4d-4ec9-ad39-298326d703c3 · inbound

Autonomous Search for Sparsely Distributed Visual Phenomena through Environmental Context Modeling cites this paper.

Autonomous Search for Sparsely Distributed Visual Phenomena through Environmental Context Modeling Deep ViT Features as Dense Visual Descriptors

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T23:50:28.153875Z

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Observation 55c0e98a-11cd-4bf4-a8cb-76e93dbdadad · inbound

Human-like Object Grouping in Self-supervised Vision Transformers cites this paper.

Human-like Object Grouping in Self-supervised Vision Transformers Deep ViT Features as Dense Visual Descriptors

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T21:34:48.709465Z

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Observation 47c61a5c-b9c4-4ad8-aa62-0627a4ec43a3 · inbound

Zero-Shot DINOv3-Based Image Matching via Many-to-Many Association cites this paper.

Zero-Shot DINOv3-Based Image Matching via Many-to-Many Association Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:11:18.694655Z

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Observation 6f2a9136-6242-4406-bfe5-c6a25c9ca3aa · inbound

Zero-Shot DINOv3-Based Image Matching via Many-to-Many Association cites this paper.

Zero-Shot DINOv3-Based Image Matching via Many-to-Many Association Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T15:38:37.458871Z

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Observation cacdf124-b7f6-4fba-9c21-2eb8edd60cc4 · inbound

VISION-SLS: Safe Perception-Based Control from Learned Visual Representations via System Level Synthesis cites this paper.

VISION-SLS: Safe Perception-Based Control from Learned Visual Representations via System Level Synthesis Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:26:15.116378Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ad55ea51-ba0c-4c6c-bd87-ec7b8156ce57 · inbound

Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization cites this paper.

Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:31:23.422461Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b7de8118-5a6b-40b7-85bb-92db0592e9cb · inbound

Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization cites this paper.

Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:42:30.587769Z

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Observation d48c6675-3083-4b2d-b1f8-a3ccefc7e33e · inbound

Realiz3D: 3D Generation Made Photorealistic via Domain-Aware Learning cites this paper.

Realiz3D: 3D Generation Made Photorealistic via Domain-Aware Learning Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:39:50.413208Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d17dd71a-628e-45d2-b230-6de38d4fbf5c · inbound

Registers Matter for Pixel-Space Diffusion Transformers cites this paper.

Registers Matter for Pixel-Space Diffusion Transformers Deep ViT Features as Dense Visual Descriptors

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:08:54.067427Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bf6f00b2-ba86-4c10-9ad3-c6f2371e2a5a · inbound

PaintCopilot: Modeling Painting as Autonomous Artistic Continuation cites this paper.

PaintCopilot: Modeling Painting as Autonomous Artistic Continuation Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:29:39.311103Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 096841c4-3df3-49ab-8bc2-a419b830d5d5 · inbound

Unsupervised Semantic Segmentation Facilitates Model Understanding cites this paper.

Unsupervised Semantic Segmentation Facilitates Model Understanding Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:43:15.483441Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation add15937-84a7-4852-9cc9-527f88040d52 · inbound

Unsupervised Semantic Segmentation Facilitates Model Understanding cites this paper.

Unsupervised Semantic Segmentation Facilitates Model Understanding Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T00:39:16.375764Z

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Observation c113a4ef-3424-4e23-a27d-e7dcba2ae667 · inbound

Generate in Reconstruction Space, Match in Semantic Space: Transport Geometry for One-Step Generation cites this paper.

Generate in Reconstruction Space, Match in Semantic Space: Transport Geometry for One-Step Generation Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:02:34.265670Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 118fa68b-0cd4-4127-9d9f-24d150490879 · inbound

TUDSR: Twice Upsampling-Diffusion for Higher Super-Resolution cites this paper.

TUDSR: Twice Upsampling-Diffusion for Higher Super-Resolution Deep ViT Features as Dense Visual Descriptors

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:07:29.960791Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4ceaa6ae-6e87-4ac8-9c6c-1f5d751731d2 · inbound

Lightweight 3D Feature Pretraining by Bayesian Inversion of 2D Foundation Models cites this paper.

Lightweight 3D Feature Pretraining by Bayesian Inversion of 2D Foundation Models Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:09:37.349741Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e1b14f28-cd12-4463-90f3-9075f0277409 · inbound

FROST: Training-Free Few-Shot Segmentation with Frozen Features and Nonparametric Statistics cites this paper.

FROST: Training-Free Few-Shot Segmentation with Frozen Features and Nonparametric Statistics Deep ViT Features as Dense Visual Descriptors

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:55:35.969649Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9165e141-8c7a-492e-a41d-47bc12d63067 · inbound

Understanding Geometric Representations in Self-Supervised Vision Transformers via Subspace Intervention cites this paper.

Understanding Geometric Representations in Self-Supervised Vision Transformers via Subspace Intervention Deep ViT Features as Dense Visual Descriptors

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T15:38:33.115406Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 723a8860-86c8-4b43-9c75-d173871c3f1c · inbound

Awakening Diffusion Transformers: Eliciting Stronger Generation and Understanding via Massive Activation Modulation cites this paper.

Awakening Diffusion Transformers: Eliciting Stronger Generation and Understanding via Massive Activation Modulation Deep ViT Features as Dense Visual Descriptors

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-12T05:46:45.293902Z

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Observation 90ea3029-786c-4f02-8b36-6e451092037e · inbound

`Attention-Guided Cross-Temporal Clustering for Self-Supervised Video Object Segmentation cites this paper.

`Attention-Guided Cross-Temporal Clustering for Self-Supervised Video Object Segmentation Deep ViT Features as Dense Visual Descriptors

Reference 45

Resolution: malformed identifier; local_arxiv, observed 2026-07-09T16:56:21.645918Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 97913c0c-7a46-4454-8f37-adad8f4aa698 · inbound

SeeSE3: Emergence of 3D Space in Vision Features cites this paper.

SeeSE3: Emergence of 3D Space in Vision Features Deep ViT Features as Dense Visual Descriptors

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:55.065331Z

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Observation 08ffb6ba-dbcb-4766-86a0-56877d494a74 · inbound

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering cites this paper.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Deep ViT Features as Dense Visual Descriptors

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T18:06:36.322250Z

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