Pith. sign in

Paper Citation Record · LEDGER

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture

As of 19 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2504.15171.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.15171 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:35:55.500453Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

64 of 64 outbound references displayed

  • verified exact0
  • verified fuzzy53
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 40ef2606-07ac-4577-bbeb-efd16ce62cfa · outbound

This paper cites Multimodal fish feeding intensity assessment in aquaculture,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Multimodal fish feeding intensity assessment in aquaculture,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:56.202612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.262792Z digest=sha256:27b44bccf0685ae61ce002b5bec630677143d740a6fcb88353502ab5ea4d6b9f

Observation cebf963a-74bd-4bf4-b882-f5e0cbe21fc5 · outbound

This paper cites Automatic feeding control for dense aquaculture fish tanks,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Automatic feeding control for dense aquaculture fish tanks,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:56.192308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.267739Z digest=sha256:830e5810fe5a23d154c9e72632470fdcbe954c48243f67ef17143342ba95a248

Observation 0edfb287-f944-4230-9634-e40a750efc2d · outbound

This paper cites Automatic recognition methods of fish feeding behavior in aquaculture: A review,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Automatic recognition methods of fish feeding behavior in aquaculture: A review,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:56.182152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.271736Z digest=sha256:f2ad68e35a87d7973ce43df5ff0cc2da9690049b1b23388026b09aebb5f61436

Observation 8a8fe738-a8f1-46bb-949f-ef219193ffe4 · outbound

This paper cites Fish feeding intensity assessment in aquaculture: A new audio dataset affia3k and a deep learning algorithm,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Fish feeding intensity assessment in aquaculture: A new audio dataset affia3k and a deep learning algorithm,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:56.171293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.275743Z digest=sha256:71323b119260163acbdb86c2fdbd0bc4eca75d054a2173650a4b67217b0d4b77

Observation 6a39f7d0-532a-4513-bf92-8e802727a104 · outbound

This paper cites Feeding intensity assessment of aquaculture fish using mel spectrogram and deep learning algorithms,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Feeding intensity assessment of aquaculture fish using mel spectrogram and deep learning algorithms,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:56.160477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.279718Z digest=sha256:551e36c8baa6992b54ad5ae84870f6e649b7319d5754d6264cb0e4c9deba3ae7

Observation 2b2052bb-9b43-4901-b042-1f28e77100ef · outbound

This paper cites Evaluating fish feeding intensity in aquaculture with convolutional neural networks,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Evaluating fish feeding intensity in aquaculture with convolutional neural networks,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:56.149438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.284113Z digest=sha256:65fdc5ef02168b2d18b45c7f3fda7c80a9d30b0367f15828db0fe3960f397b24

Observation 8ea549c8-d6d4-4541-9c97-7734791fd102 · outbound

This paper cites A review of aquaculture: From single modality analysis to multimodality fusion,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture A review of aquaculture: From single modality analysis to multimodality fusion,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:56.138765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.288993Z digest=sha256:beb8da7748b7d0953bff6d1a1d0bae47879aba92ce18e15dcdab4e714e08296c

Observation 66b21b92-3fce-4897-a2e7-41d13eaee4ad · outbound

This paper cites Harnessing multimodal data fusion to advance accurate identification of fish feeding intensity,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Harnessing multimodal data fusion to advance accurate identification of fish feeding intensity,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:56.127809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.293264Z digest=sha256:9f4d16b6ba5d0f8dd42e3fa61f6a994a8617111fa9b11efbf16a91450fffdb6e

Observation 6a015065-e94b-4f4c-b43a-be05c96cdca1 · outbound

This paper cites Fish tracking, counting, and behaviour analysis in digital aquaculture: A comprehen- sive survey,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Fish tracking, counting, and behaviour analysis in digital aquaculture: A comprehen- sive survey,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:56.117015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.296924Z digest=sha256:baa325ca7d0cfa2bccaa690e28ec00c9227b348ac46e515f86dc9b8f9c4a54a3

Observation b82c328f-dc2f-435b-aeac-a91e202d44ef · outbound

This paper cites Continual Learning and Catastrophic Forgetting.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Continual Learning and Catastrophic Forgetting

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T11:35:55.300938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:35:55.300938Z digest=sha256:d62233bf18cac42f5978eb357c932f4a64cf11b75683c2d0f61a81bf1c5f2215

Observation 3a10fd0e-218c-417d-ae43-beca84d26330 · outbound

This paper cites Overcoming catastrophic forgetting by incremental moment matching,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Overcoming catastrophic forgetting by incremental moment matching,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:56.105985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.305218Z digest=sha256:d26fe687def776af42d4b4f492ee2069a257f15af6753ab262cf8562ed45caa8

Observation 47350d61-9143-4c90-9f99-0d4ee5fa8425 · outbound

This paper cites Class-Incremental Learning: A Survey.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Class-Incremental Learning: A Survey

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T11:35:55.309258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:35:55.309258Z digest=sha256:f9f33bfe30b27ce7f9dad043f083d3183a0ee19f28ddaf7b571a8db8a349b7c1

Observation b9c553d2-3dc5-4eed-ac73-13754f700617 · outbound

This paper cites Dynamic residual classifier for class incremen- tal learning,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Dynamic residual classifier for class incremen- tal learning,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:56.094733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.313641Z digest=sha256:f2874bac8314d0c929e41cbce54454bedb55d03550a154fc78d62ff40c84de7b

Observation 257a0c2a-154e-4ea4-b72b-0891c8b146dc · outbound

This paper cites Podnet: Pooled outputs distillation for small-tasks incremental learning,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Podnet: Pooled outputs distillation for small-tasks incremental learning,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:56.083413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.317409Z digest=sha256:067699b60f0d37dea8112fdb0f4c1ac219dfd0a058586be3cd1dc388186275a6

Observation 41274bbf-3d78-4fb4-bc6e-864fc33ccd19 · outbound

This paper cites Adaptive aggregation networks for class- incremental learning,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Adaptive aggregation networks for class- incremental learning,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:56.072121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.321057Z digest=sha256:ffb9db650a2ee5bfc82bea34cd70efedc4efa84e94ac52328ca3ca4dd2e1d464

Observation 6b6136eb-1c6c-4339-9b8e-8f31c864844a · outbound

This paper cites DiffClass: Diffusion-based class incremental learning,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture DiffClass: Diffusion-based class incremental learning,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:56.060969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.324570Z digest=sha256:f16c2de6ede0c72f475c581ca13f89bad351eeb45865482d89bf1d24ecbec3d8

Observation 3f8ecd7a-48ab-437c-8438-38a194f0c8ff · outbound

This paper cites Fetril: Feature translation for exemplar-free class-incremental learning,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Fetril: Feature translation for exemplar-free class-incremental learning,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:56.050158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.328572Z digest=sha256:9ff38f8cd165b6e6538469bf8b4c2945f007835074aa72d6520cbf6fe1c636e5

Observation 416b1d67-0a12-4cf9-ae38-4a882a9f4996 · outbound

This paper cites Fecam: Exploiting the heterogeneity of class distributions in exemplar-free continual learning,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Fecam: Exploiting the heterogeneity of class distributions in exemplar-free continual learning,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:56.039120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.331932Z digest=sha256:464112bb07d50d7644c24e1672aaba86598a9464b96af648d35e969e7eae5f3b

Observation ac5268ba-b002-4c51-84d7-c230639d9871 · outbound

This paper cites Learning without forgetting,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Learning without forgetting,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T11:35:55.335273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:35:55.335273Z digest=sha256:2f070c57363ef32d6e6524294ce935ec2f51961a544a6107b1245861f684d7d1

Observation be00f496-30ad-4270-8d1c-75c4dc9d5cf1 · outbound

This paper cites Representation robustness and feature expansion for exemplar-free class-incremental learning,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Representation robustness and feature expansion for exemplar-free class-incremental learning,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:56.021274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.339129Z digest=sha256:26b9edfc72bf7d22302b9e3a7e010b34482834d016ba0170c1a11c11f38211d4

Observation cab5043a-3c88-4f58-a804-6f933fbdbeba · outbound

This paper cites Multi-granularity knowledge distillation and prototype consistency reg- ularization for class-incremental learning,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Multi-granularity knowledge distillation and prototype consistency reg- ularization for class-incremental learning,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:56.010306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.343150Z digest=sha256:6e7460ac55ecac2031d5c32fe9c6ec01ab94bf361b09878ce81fadbaee541b95

Observation 5fb4143d-1b14-4cb2-9bb5-313a1a8a2945 · outbound

This paper cites Adapt your teacher: Improving knowledge distillation for exemplar-free continual learning,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Adapt your teacher: Improving knowledge distillation for exemplar-free continual learning,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.998955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.346889Z digest=sha256:0e11015c7e540bf1c4bb88a9ba756dc7e9af87238f9b73a9b188c31038278977

Observation 57535e62-b6e3-4ec0-b2a4-eb5e2b0b2b01 · outbound

This paper cites Exemplar- free class incremental learning via discriminative and comparable paral- lel one-class classifiers,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Exemplar- free class incremental learning via discriminative and comparable paral- lel one-class classifiers,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.987676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.350322Z digest=sha256:5b659ce7417dca2f7dbc3fc4f91342bcd283b9839f48fadc935ed270a9bf3e8e

Observation 434965eb-2006-4aa7-a4d6-2ed8ea59f83d · outbound

This paper cites Class-incremental learning: A survey,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Class-incremental learning: A survey,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T11:35:55.353701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:35:55.353701Z digest=sha256:807c55d8138fdbdf14d1bfd81e6cd8cbe1d3b0441b5c493313ab3be368729a6a

Observation 9a6be67b-bb42-409f-afe7-03777434358c · outbound

This paper cites Learning to prompt for continual learning,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Learning to prompt for continual learning,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.970991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.357492Z digest=sha256:1a9fb76037e5437839d869fc8dc45b77285ae3b700f473fa734c410d33312429

Observation 5929c152-94c5-449f-a761-4ca618cb3d9c · outbound

This paper cites Prototype augmen- tation and self-supervision for incremental learning,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Prototype augmen- tation and self-supervision for incremental learning,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.960135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.360887Z digest=sha256:8736e112bab0e43c5897d58d0325ad8cb325be5caacc0b2fb783cca44a17c2f5

Observation f82e9acd-dfd8-4284-9fe0-e4edd6a20620 · outbound

This paper cites Few- shot class-incremental learning via training-free prototype calibration,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Few- shot class-incremental learning via training-free prototype calibration,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.950466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.365089Z digest=sha256:a7527d6fee11c31121ed60236d12396bb90e2218b48c13a02a262bc1b6dcb4c7

Observation d4aa9632-2748-4c1c-b5f4-89f8c96631b4 · outbound

This paper cites Few shot class incremental learning via efficient prototype replay and calibration,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Few shot class incremental learning via efficient prototype replay and calibration,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.939925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.368520Z digest=sha256:74e79631c4cb6f9ccdf3de9198dd03345224c3d245c384907683f8836df20e49

Observation 647e644a-2280-4ac6-84c4-3869393497a0 · outbound

This paper cites A class-incremental approach with self-training and prototype augmentation for specific emitter identification,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture A class-incremental approach with self-training and prototype augmentation for specific emitter identification,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.927632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.371914Z digest=sha256:4bdc4688d2699fbdf2d9a7a0cd355aafd4a730c1d57cd2c30415331badfeebb0

Observation 353213d0-0114-42c1-94c1-ec085605e3e2 · outbound

This paper cites Prototype enhancement-based incremental evolution learning for urban garbage classification,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Prototype enhancement-based incremental evolution learning for urban garbage classification,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.916714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.375318Z digest=sha256:8b26f922c1faed9bd9475772b3c79052299af5365758b24d38d0d674674f6d5f

Observation 9065a1cd-76ea-470c-965b-2f18ad8151bc · outbound

This paper cites Class-incremental grouping network for continual audio-visual learning,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Class-incremental grouping network for continual audio-visual learning,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.905580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.378583Z digest=sha256:176977a0b84a16306316de56bdd42506bf914c1f322ac489a2ba0d399cbf8825

Observation f0db49ab-9b15-4268-af22-523499d00557 · outbound

This paper cites Audio-visual class-incremental learning,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Audio-visual class-incremental learning,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.895625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.382067Z digest=sha256:04e9cabfe6b9e119c2c532de589966a6d263ef2a9e575e4fe57c0ff8dc91583e

Observation fdca0aec-636c-40ce-8353-79914d7bbfb0 · outbound

This paper cites Incremental audio-visual fusion for person recognition in earthquake scene,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Incremental audio-visual fusion for person recognition in earthquake scene,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.885277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.385151Z digest=sha256:0f5832a5cef3934c7a226e690bd78c72c1a37f9d7559983c269bcaed4adc148a

Observation 234b4395-df09-4047-aff4-aa82a42af9f4 · outbound

This paper cites Mmal: Multi-modal analytic learning for exemplar-free audio-visual class incremental tasks,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Mmal: Multi-modal analytic learning for exemplar-free audio-visual class incremental tasks,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.874945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.388492Z digest=sha256:38e7730c9eba1384c8b1fcd62d4d153e9b82872cdfb86aca5c5d896d587c80ee

Observation 04659bc4-8d19-4d1d-a265-dd94487b5c61 · outbound

This paper cites Deep audio- visual learning: A survey,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Deep audio- visual learning: A survey,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.864302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.392033Z digest=sha256:ff3d4206c6c1ce9fd6a74179c817695e9db77e7a053666a92df236360a1d2ac4

Observation 9b7590ba-12f1-4562-81dc-19ded8356d3a · outbound

This paper cites Learning in Audio-visual Context: A Review, Analysis, and New Perspective.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Learning in Audio-visual Context: A Review, Analysis, and New Perspective

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T11:35:55.395508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:35:55.395508Z digest=sha256:b62d7c3aab9a6c0c7beaf4786a5356003fc05eadd7d2f9cd3dc73bf18c82840e

Observation 65447a24-e1e3-44e1-aeaa-a95931477f6d · outbound

This paper cites MMFINet: A multimodal fusion network for accurate fish feeding intensity assessment in recirculating aquaculture systems,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture MMFINet: A multimodal fusion network for accurate fish feeding intensity assessment in recirculating aquaculture systems,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.853479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.399523Z digest=sha256:d5e1cc1dde8b1536b8538e64b8dd6deb2ab9031a4c7cf6144b917b092a3c4f0e

Observation a3af2dd2-95b4-4d37-9dae-420283b29ffb · outbound

This paper cites Fish behavior recognition based on an audio-visual multimodal interactive fusion network,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Fish behavior recognition based on an audio-visual multimodal interactive fusion network,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.842609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.403125Z digest=sha256:421c3d3f3c8ca63e0160d9b8450df417a7afd55b5e7631171e36b9b9f61beb2d

Observation 55f31495-fd08-4c42-b880-b32cf977980a · outbound

This paper cites Intelligent fish feeding based on machine vision: A review,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Intelligent fish feeding based on machine vision: A review,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.832639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.406890Z digest=sha256:bed737039fa4d5a98d55eba4efcdff38ff3fe37b8ee5c15576c1f05ed8dbbba3

Observation 666b6599-a291-4faf-810b-8f7d39a6f64c · outbound

This paper cites Memory Replay with Data Compression for Continual Learning.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Memory Replay with Data Compression for Continual Learning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T11:35:55.410798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:35:55.410798Z digest=sha256:51b1511e68c8bf117fe878b339dc2e24c4373db20b81cafbc71629a45aa8a6b4

Observation 60188511-1857-41bf-ad4b-3290c80e34e5 · outbound

This paper cites Adaer: An adaptive experience replay approach for continual lifelong learning,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Adaer: An adaptive experience replay approach for continual lifelong learning,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.822200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.414834Z digest=sha256:4ce78204c46fe95656d741dfae5cfc5290d5fc14d22d11206278a1605a8db267

Observation ae15a3c1-3df7-4e17-945a-0485b402037d · outbound

This paper cites iCaRL: Incremental classifier and representation learning,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture iCaRL: Incremental classifier and representation learning,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.811986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.418126Z digest=sha256:89e26fa42435ed2c4d1fca24e5e524390b6d0fc70b323c482d7edb4623cc603c

Observation 659d7b69-956c-4289-9f00-655b07dfccad · outbound

This paper cites Exemplar-supported generative reproduction for class incremental learning.,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Exemplar-supported generative reproduction for class incremental learning.,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.801363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.421506Z digest=sha256:14c670f692c8f7a86d8e438465d17aaa4e1b8f49fcacb478c14767a5e8fbe03c

Observation bb532824-fb28-4ce7-a47c-bae27e56ddce · outbound

This paper cites Der: Dynamically expandable representation for class incremental learning,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Der: Dynamically expandable representation for class incremental learning,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.790647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.425575Z digest=sha256:5edf63eb2b8463eeec6b2dd8f72e295d498fec001b52d44adf621419f6a542c2

Observation c726a359-d4d3-4cfa-ae4f-1f9cd9d48b3b · outbound

This paper cites Lifelong Learning with Dynamically Expandable Networks.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Lifelong Learning with Dynamically Expandable Networks

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-16T11:35:55.429546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:35:55.429546Z digest=sha256:03b1bcec466e57e5afb86abe2ff40890d9c82f1df1bf2442b839ea44311e3b82

Observation 1269c8a0-be67-4f2c-876e-aa9c30567c5d · outbound

This paper cites An analysis of initial training strategies for exemplar- free class-incremental learning,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture An analysis of initial training strategies for exemplar- free class-incremental learning,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.780254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.434265Z digest=sha256:5fdcc87a35914b5dd775673ec930e85af9dd5fde94b25114e4d07f157a9e34ad

Observation 85efcb09-8adf-498f-af50-2c55730c2051 · outbound

This paper cites Continual learning with knowl- edge distillation: A survey,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Continual learning with knowl- edge distillation: A survey,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.769415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.437972Z digest=sha256:2cd782caf034f1fc76b633eb798a8341f4665bb1b4c593dcfb8779579288db2e

Observation 9dbd7b84-9f28-4ebd-96d1-0dc920f3ce71 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Overcoming catastrophic forgetting in neural networks,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.759268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.441745Z digest=sha256:eb1da6b439813daff9a18beae3153157c23c1bfd4d51827c0ed5968d8a93d336

Observation e2a5b37d-9a24-430b-a295-37e5b1fa7719 · outbound

This paper cites Memory aware synapses: Learning what (not) to forget,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Memory aware synapses: Learning what (not) to forget,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.749100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.445209Z digest=sha256:9a0ac7218e29abb046fd9e889f655d61ff508d1673031743d9cdd142ba883e0c

Observation 99bb5968-3065-466a-ae48-00c190a9b2af · outbound

This paper cites Rotate your networks: Better weight consolidation and less catastrophic forgetting,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Rotate your networks: Better weight consolidation and less catastrophic forgetting,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.738264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.449171Z digest=sha256:78f141b4e5fd5baabeed3d6a9d8bcb688e0d192d00d1fdbd0913a2e94e4d08df

Observation 5b1aaa48-4c9a-47e0-8d22-72ce62b71d58 · outbound

This paper cites ACIL: Analytic class-incremental learning with absolute memorization and privacy protection,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture ACIL: Analytic class-incremental learning with absolute memorization and privacy protection,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.726799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.452643Z digest=sha256:2683d0914aea5636c3149c267eaa84a720bae84a8440f8d404ac37eb92c1d938

Observation 293d7292-b746-42c8-84da-a38399e45349 · outbound

This paper cites DS-AL: A dual-stream analytic learning for exemplar-free class-incremental learn- ing,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture DS-AL: A dual-stream analytic learning for exemplar-free class-incremental learn- ing,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.715459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.456182Z digest=sha256:f0d7280bc8f2d9e0c509f322a2675da52c63c75bb9d8de71bc2e3dc76df5af7f

Observation 9ac54714-1b48-4563-8236-c6db8e712342 · outbound

This paper cites Gkeal: Gaussian kernel embedded analytic learning for few-shot class incremental task,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Gkeal: Gaussian kernel embedded analytic learning for few-shot class incremental task,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.704668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.459767Z digest=sha256:50024e79eb129d3d14403d3db05889b08a0a677fb554d11e3b5b9f4a2d30c689

Observation 0114b4c6-d0fb-400a-9b48-6a0a0c1af405 · outbound

This paper cites Class incremental learning with self-supervised pre-training and prototype learning,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Class incremental learning with self-supervised pre-training and prototype learning,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.694097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.463332Z digest=sha256:8082624f46a64cf46d88b2f440df59ee9d191f11d859911813c3e572a50865ad

Observation e23e277e-eaa2-4dc9-adeb-204d3ce4b6f9 · outbound

This paper cites Continual prototype evolution: Learn- ing online from non-stationary data streams,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Continual prototype evolution: Learn- ing online from non-stationary data streams,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.682808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.467263Z digest=sha256:7e1420c4a944a768fb6875ece3fe40234e8ea16166e71dc26535039b2a799c10

Observation f8d9d793-5178-4c40-a56c-f2e8420ec958 · outbound

This paper cites Class-incremental learning: survey and performance evaluation on image classification,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Class-incremental learning: survey and performance evaluation on image classification,

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-16T11:35:55.471285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:35:55.471285Z digest=sha256:e729ad54e81bbed8a29a166750a5c31a699790d1b750ce33546c032febb71e27

Observation f75c57bd-502d-4eb1-b5c1-d019dbb35b6e · outbound

This paper cites Rethinking spa- tiotemporal feature learning: Speed-accuracy trade-offs in video clas- sification,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Rethinking spa- tiotemporal feature learning: Speed-accuracy trade-offs in video clas- sification,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.664591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.474951Z digest=sha256:02827b736700688678c35eb60118a68919c83a1e653505c90cfaa9404edb33f1

Observation e038eb24-ed37-465b-91b6-b3b6c1e6f015 · outbound

This paper cites PANNs: Large-scale pretrained audio neural networks for audio pattern recognition,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture PANNs: Large-scale pretrained audio neural networks for audio pattern recognition,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.653747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.478664Z digest=sha256:83497a2dcdb2b58100a1cf1b41e833fb7fcf3cc3b51bc4dadd7d62db76982951

Observation bc5a2752-c970-44e6-b96d-515a9b278e6b · outbound

This paper cites Audio set: An ontology and human- labeled dataset for audio events,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Audio set: An ontology and human- labeled dataset for audio events,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.642771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.482508Z digest=sha256:c32f26854fdb7707017eaec76b96869c523a87027982e77488c3e9cf40c80891

Observation 03cb205e-8e0b-4d46-9b65-52875d06e5ff · outbound

This paper cites SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-16T11:35:55.485946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:35:55.485946Z digest=sha256:0d62fb1af4da09dfc88f3dee938ae266c16d1af6bde705d1a4a1e6578417a4d1

Observation a795d09e-69a6-4715-9f58-8891e518baf8 · outbound

This paper cites The Kinetics Human Action Video Dataset.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture The Kinetics Human Action Video Dataset

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-16T11:35:55.489848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:35:55.489848Z digest=sha256:460b53bb9200fd34ea81938c59ff563c9e9230ff33f4c12a3004eab32c24c288

Observation 7ff2388e-3321-41ac-9d49-ea95fb790de8 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Adam: A Method for Stochastic Optimization

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-16T11:35:55.493544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:35:55.493544Z digest=sha256:89cc4195276c33600676dc6725a8d32f5309aacd63deaabfafa6632d9acbd4bf

Observation a000f3fd-99c6-4cf6-b78f-a5050fe22b87 · outbound

This paper cites SS- IL: separated softmax for incremental learning,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture SS- IL: separated softmax for incremental learning,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.630821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.497067Z digest=sha256:2cef9a6e040ae97f4e4de9739e1a65a45125db52fa1060ae09fa54790fe01f47

Observation e86016eb-efe6-4edf-b800-2435e4fd1557 · outbound

This paper cites Class-incremental learning by knowledge distillation with adaptive feature consolidation,.

Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture Class-incremental learning by knowledge distillation with adaptive feature consolidation,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:35:55.619626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:35:55.500453Z digest=sha256:af76bce268bdb697dcae2d3b178d3c4ac46f257ec3e3418245b1e2a8dead11bd

Pith citing papers

No inbound Pith citation observations are available.